First change the directory of your working folder to the data that you have collated of DC motor. You can do
directly from a icon given on the top. After that collect whole data into your matlab program in the form of cell
array for which code is given below.
files=[pwd '/' filenames '.xlsx']
files = '/home/bhoomik/Desktop/Matlab /Data/DATA*.xlsx'
ds=datastore(files)
ds =
SpreadsheetDatastore with properties:
Files: {
'/home/bhoomik/Desktop/Matlab /Data/DATA1.xlsx';
'/home/bhoomik/Desktop/Matlab /Data/DATA10.xlsx';
'/home/bhoomik/Desktop/Matlab /Data/DATA11.xlsx'
... and 40 more
}
Folders: {
'/home/bhoomik/Desktop/Matlab /Data'
}
AlternateFileSystemRoots: {}
Sheets: ''
Range: ''
Sheet Format Properties:
NumHeaderLines: 0
VariableNamingRule: 'modify'
ReadVariableNames: true
VariableNames: {'ID', 't', 'Ia' ... and 3 more}
VariableTypes: {'double', 'double', 'double' ... and 3 more}
Properties that control the table returned by preview, read, readall:
SelectedVariableNames: {'ID', 't', 'Ia' ... and 3 more}
SelectedVariableTypes: {'double', 'double', 'double' ... and 3 more}
ReadSize: 'file'
OutputType: 'table'
RowTimes: []
Write-specific Properties:
SupportedOutputFormats: ["txt" "csv" "xlsx" "xls" "parquet" "parq"]
DefaultOutputFormat: "xlsx"
Data is column Table(43x1 array) in which 43 Dataset is stored in this Data Table
Data=cell(43,1)
Data = 43×1 cell
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| 43 | [ ] |
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fensemble=fileEnsembleDatastore(pwd,'.xlsx');
new_filenames=fensemble.Files
"/home/bhoomik/Desktop/Matla…
"/home/bhoomik/Desktop/Matla…
"/home/bhoomik/Desktop/Matla…
"/home/bhoomik/Desktop/Matla…
"/home/bhoomik/Desktop/Matla…
"/home/bhoomik/Desktop/Matla…
"/home/bhoomik/Desktop/Matla…
"/home/bhoomik/Desktop/Matla…
"/home/bhoomik/Desktop/Matla…
"/home/bhoomik/Desktop/Matla…
for i=1:numel(new_filenames)
end
t = 256×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 1 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 1 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 1 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 1 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 1 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 1 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 1 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 1 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 1 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 1 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 1 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 1 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 1 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 1 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 1 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 1 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 1 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 1 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 1 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 1 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 1 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 1 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 1 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 1 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 1 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 1 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 1 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 1 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 1 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 1 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 1 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 1 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 1 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 1 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 1 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 1 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 1 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 1 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 1 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 1 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 1 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 1 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 1 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 1 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 1 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 1 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 1 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 1 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 1 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 1 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 1 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 1 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 1 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 1 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 1 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 1 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 1 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 1 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 1 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 1 | 6.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 1 | 6.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 1 | 6.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 1 | 7.0000 | 21.1824 | 1.0665 | 1.7518e+03 | 21.4226 |
|---|
| 64 | 1 | 8.0000 | 21.1829 | 1.0665 | 1.7537e+03 | 21.4231 |
|---|
| 65 | 1 | 9.0000 | 21.1832 | 1.0665 | 1.7556e+03 | 21.4234 |
|---|
| 66 | 1 | 10.0000 | 21.1837 | 1.0665 | 1.7574e+03 | 21.4239 |
|---|
| 67 | 1 | 11.0000 | 21.1843 | 1.0665 | 1.7593e+03 | 21.4245 |
|---|
| 68 | 1 | 12.0000 | 21.1848 | 1.0665 | 1.7612e+03 | 21.4251 |
|---|
| 69 | 1 | 13.0000 | 21.1854 | 1.0665 | 1.7631e+03 | 21.4257 |
|---|
| 70 | 1 | 14.0000 | 21.1860 | 1.0665 | 1.7649e+03 | 21.4262 |
|---|
| 71 | 1 | 15.0000 | 21.1866 | 1.0665 | 1.7668e+03 | 21.4268 |
|---|
| 72 | 1 | 16.0000 | 21.1871 | 1.0665 | 1.7687e+03 | 21.4274 |
|---|
| 73 | 1 | 17.0000 | 21.1877 | 1.0665 | 1.7706e+03 | 21.4280 |
|---|
| 74 | 1 | 18.0000 | 21.1883 | 1.0665 | 1.7724e+03 | 21.4285 |
|---|
| 75 | 1 | 19.0000 | 21.1888 | 1.0665 | 1.7743e+03 | 21.4291 |
|---|
| 76 | 1 | 20.0000 | 21.1894 | 1.0665 | 1.7762e+03 | 21.4297 |
|---|
| 77 | 1 | 21.0000 | 21.1900 | 1.0665 | 1.7781e+03 | 21.4303 |
|---|
| 78 | 1 | 22.0000 | 21.1906 | 1.0665 | 1.7799e+03 | 21.4309 |
|---|
| 79 | 1 | 23.0000 | 21.1911 | 1.0665 | 1.7818e+03 | 21.4314 |
|---|
| 80 | 1 | 24.0000 | 21.1917 | 1.0665 | 1.7837e+03 | 21.4320 |
|---|
| 81 | 1 | 25.0000 | 21.1923 | 1.0665 | 1.7855e+03 | 21.4326 |
|---|
| 82 | 1 | 26.0000 | 21.1929 | 1.0665 | 1.7874e+03 | 21.4332 |
|---|
| 83 | 1 | 27.0000 | 21.1934 | 1.0665 | 1.7893e+03 | 21.4338 |
|---|
| 84 | 1 | 28.0000 | 21.1940 | 1.0665 | 1.7912e+03 | 21.4343 |
|---|
| 85 | 1 | 29.0000 | 21.1946 | 1.0665 | 1.7930e+03 | 21.4349 |
|---|
| 86 | 1 | 30.0000 | 21.1951 | 1.0665 | 1.7949e+03 | 21.4355 |
|---|
| 87 | 1 | 31.0000 | 21.1957 | 1.0665 | 1.7968e+03 | 21.4361 |
|---|
| 88 | 1 | 32.0000 | 21.1963 | 1.0665 | 1.7987e+03 | 21.4367 |
|---|
| 89 | 1 | 33.0000 | 21.1969 | 1.0665 | 1.8005e+03 | 21.4372 |
|---|
| 90 | 1 | 34.0000 | 21.1974 | 1.0665 | 1.8024e+03 | 21.4378 |
|---|
| 91 | 1 | 35.0000 | 21.1980 | 1.0665 | 1.8043e+03 | 21.4384 |
|---|
| 92 | 1 | 36.0000 | 21.1986 | 1.0665 | 1.8062e+03 | 21.4390 |
|---|
| 93 | 1 | 37.0000 | 21.1992 | 1.0665 | 1.8080e+03 | 21.4396 |
|---|
| 94 | 1 | 38.0000 | 21.1997 | 1.0665 | 1.8099e+03 | 21.4401 |
|---|
| 95 | 1 | 39.0000 | 21.2003 | 1.0665 | 1.8118e+03 | 21.4407 |
|---|
| 96 | 1 | 40.0000 | 21.2009 | 1.0665 | 1.8137e+03 | 21.4413 |
|---|
| 97 | 1 | 41.0000 | 21.2015 | 1.0665 | 1.8155e+03 | 21.4419 |
|---|
| 98 | 1 | 42.0000 | 21.2020 | 1.0665 | 1.8174e+03 | 21.4425 |
|---|
| 99 | 1 | 43.0000 | 21.2026 | 1.0665 | 1.8193e+03 | 21.4430 |
|---|
| 100 | 1 | 44.0000 | 21.2032 | 1.0665 | 1.8212e+03 | 21.4436 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
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| 1 | 256×6 table |
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| 2 | [ ] |
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| 3 | [ ] |
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| 4 | [ ] |
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| 5 | [ ] |
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| 6 | [ ] |
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| 7 | [ ] |
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| 8 | [ ] |
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| 9 | [ ] |
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| 10 | [ ] |
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| 11 | [ ] |
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| 12 | [ ] |
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| 13 | [ ] |
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| 14 | [ ] |
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| 15 | [ ] |
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| 16 | [ ] |
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| 17 | [ ] |
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| 18 | [ ] |
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| 19 | [ ] |
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| 20 | [ ] |
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| 21 | [ ] |
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| 22 | [ ] |
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| 23 | [ ] |
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| 24 | [ ] |
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| 25 | [ ] |
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| 26 | [ ] |
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| 27 | [ ] |
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| 28 | [ ] |
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| 29 | [ ] |
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| 30 | [ ] |
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| 31 | [ ] |
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| 32 | [ ] |
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| 33 | [ ] |
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| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 236×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 10 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 10 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 10 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 10 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 10 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 10 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 10 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 10 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 10 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 10 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 10 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 10 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 10 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 10 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 10 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 10 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 10 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 10 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 10 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 10 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 10 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 10 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 10 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 10 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 10 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 10 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 10 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 10 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 10 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 10 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 10 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 10 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 10 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 10 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 10 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 10 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 10 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 10 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 10 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 10 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 10 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 10 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 10 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 10 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 10 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 10 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 10 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 10 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 10 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 10 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 10 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 10 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 10 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 10 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 10 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 10 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 10 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 10 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 10 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 10 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 10 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 10 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 10 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 10 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 10 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 10 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 10 | 11.0000 | 21.1890 | 1.0665 | 1.7540e+03 | 21.4293 |
|---|
| 68 | 10 | 12.0000 | 21.1900 | 1.0665 | 1.7582e+03 | 21.4303 |
|---|
| 69 | 10 | 13.0000 | 21.1907 | 1.0665 | 1.7625e+03 | 21.4310 |
|---|
| 70 | 10 | 14.0000 | 21.1919 | 1.0665 | 1.7667e+03 | 21.4322 |
|---|
| 71 | 10 | 15.0000 | 21.1932 | 1.0665 | 1.7709e+03 | 21.4335 |
|---|
| 72 | 10 | 16.0000 | 21.1945 | 1.0665 | 1.7751e+03 | 21.4348 |
|---|
| 73 | 10 | 17.0000 | 21.1958 | 1.0665 | 1.7793e+03 | 21.4361 |
|---|
| 74 | 10 | 18.0000 | 21.1970 | 1.0665 | 1.7835e+03 | 21.4374 |
|---|
| 75 | 10 | 19.0000 | 21.1983 | 1.0665 | 1.7878e+03 | 21.4387 |
|---|
| 76 | 10 | 20.0000 | 21.1996 | 1.0665 | 1.7920e+03 | 21.4400 |
|---|
| 77 | 10 | 21.0000 | 21.2009 | 1.0665 | 1.7962e+03 | 21.4413 |
|---|
| 78 | 10 | 22.0000 | 21.2022 | 1.0665 | 1.8004e+03 | 21.4426 |
|---|
| 79 | 10 | 23.0000 | 21.2035 | 1.0665 | 1.8046e+03 | 21.4439 |
|---|
| 80 | 10 | 24.0000 | 21.2048 | 1.0665 | 1.8089e+03 | 21.4452 |
|---|
| 81 | 10 | 25.0000 | 21.2061 | 1.0665 | 1.8131e+03 | 21.4466 |
|---|
| 82 | 10 | 26.0000 | 21.2074 | 1.0665 | 1.8173e+03 | 21.4479 |
|---|
| 83 | 10 | 27.0000 | 21.2086 | 1.0665 | 1.8215e+03 | 21.4492 |
|---|
| 84 | 10 | 28.0000 | 21.2099 | 1.0665 | 1.8257e+03 | 21.4505 |
|---|
| 85 | 10 | 29.0000 | 21.2112 | 1.0665 | 1.8299e+03 | 21.4518 |
|---|
| 86 | 10 | 30.0000 | 21.2125 | 1.0665 | 1.8342e+03 | 21.4531 |
|---|
| 87 | 10 | 31.0000 | 21.2138 | 1.0665 | 1.8384e+03 | 21.4544 |
|---|
| 88 | 10 | 32.0000 | 21.2151 | 1.0665 | 1.8426e+03 | 21.4557 |
|---|
| 89 | 10 | 33.0000 | 21.2164 | 1.0665 | 1.8468e+03 | 21.4570 |
|---|
| 90 | 10 | 34.0000 | 21.2177 | 1.0665 | 1.8510e+03 | 21.4583 |
|---|
| 91 | 10 | 35.0000 | 21.2190 | 1.0665 | 1.8552e+03 | 21.4596 |
|---|
| 92 | 10 | 36.0000 | 21.2203 | 1.0665 | 1.8595e+03 | 21.4609 |
|---|
| 93 | 10 | 37.0000 | 21.2215 | 1.0665 | 1.8637e+03 | 21.4622 |
|---|
| 94 | 10 | 38.0000 | 21.2228 | 1.0665 | 1.8679e+03 | 21.4635 |
|---|
| 95 | 10 | 39.0000 | 21.2241 | 1.0665 | 1.8721e+03 | 21.4648 |
|---|
| 96 | 10 | 40.0000 | 21.2254 | 1.0665 | 1.8763e+03 | 21.4661 |
|---|
| 97 | 10 | 41.0000 | 21.2267 | 1.0665 | 1.8805e+03 | 21.4674 |
|---|
| 98 | 10 | 42.0000 | 21.2280 | 1.0665 | 1.8848e+03 | 21.4687 |
|---|
| 99 | 10 | 43.0000 | 21.2293 | 1.0665 | 1.8890e+03 | 21.4700 |
|---|
| 100 | 10 | 44.0000 | 21.2306 | 1.0665 | 1.8932e+03 | 21.4713 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | [ ] |
|---|
| 4 | [ ] |
|---|
| 5 | [ ] |
|---|
| 6 | [ ] |
|---|
| 7 | [ ] |
|---|
| 8 | [ ] |
|---|
| 9 | [ ] |
|---|
| 10 | [ ] |
|---|
| 11 | [ ] |
|---|
| 12 | [ ] |
|---|
| 13 | [ ] |
|---|
| 14 | [ ] |
|---|
| 15 | [ ] |
|---|
| 16 | [ ] |
|---|
| 17 | [ ] |
|---|
| 18 | [ ] |
|---|
| 19 | [ ] |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 226×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 11 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 11 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 11 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 11 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 11 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 11 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 11 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 11 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 11 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 11 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 11 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 11 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 11 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 11 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 11 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 11 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 11 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 11 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 11 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 11 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 11 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 11 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 11 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 11 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 11 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 11 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 11 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 11 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 11 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 11 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 11 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 11 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 11 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 11 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 11 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 11 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 11 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 11 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 11 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 11 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 11 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 11 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 11 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 11 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 11 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 11 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 11 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 11 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 11 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 11 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 11 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 11 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 11 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 11 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 11 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 11 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 11 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 11 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 11 | 5.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 11 | 5.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 11 | 5.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 11 | 6.0000 | 21.1916 | 1.0665 | 1.7549e+03 | 21.4320 |
|---|
| 63 | 11 | 7.0000 | 21.1929 | 1.0665 | 1.7600e+03 | 21.4332 |
|---|
| 64 | 11 | 8.0000 | 21.1937 | 1.0665 | 1.7652e+03 | 21.4340 |
|---|
| 65 | 11 | 9.0000 | 21.1951 | 1.0665 | 1.7704e+03 | 21.4355 |
|---|
| 66 | 11 | 10.0000 | 21.1967 | 1.0665 | 1.7755e+03 | 21.4371 |
|---|
| 67 | 11 | 11.0000 | 21.1983 | 1.0665 | 1.7807e+03 | 21.4387 |
|---|
| 68 | 11 | 12.0000 | 21.1999 | 1.0665 | 1.7858e+03 | 21.4403 |
|---|
| 69 | 11 | 13.0000 | 21.2015 | 1.0665 | 1.7910e+03 | 21.4419 |
|---|
| 70 | 11 | 14.0000 | 21.2030 | 1.0665 | 1.7961e+03 | 21.4435 |
|---|
| 71 | 11 | 15.0000 | 21.2046 | 1.0665 | 1.8013e+03 | 21.4451 |
|---|
| 72 | 11 | 16.0000 | 21.2062 | 1.0665 | 1.8065e+03 | 21.4467 |
|---|
| 73 | 11 | 17.0000 | 21.2078 | 1.0665 | 1.8116e+03 | 21.4483 |
|---|
| 74 | 11 | 18.0000 | 21.2094 | 1.0665 | 1.8168e+03 | 21.4499 |
|---|
| 75 | 11 | 19.0000 | 21.2109 | 1.0665 | 1.8219e+03 | 21.4515 |
|---|
| 76 | 11 | 20.0000 | 21.2125 | 1.0665 | 1.8271e+03 | 21.4531 |
|---|
| 77 | 11 | 21.0000 | 21.2141 | 1.0665 | 1.8322e+03 | 21.4547 |
|---|
| 78 | 11 | 22.0000 | 21.2157 | 1.0665 | 1.8374e+03 | 21.4562 |
|---|
| 79 | 11 | 23.0000 | 21.2172 | 1.0665 | 1.8425e+03 | 21.4578 |
|---|
| 80 | 11 | 24.0000 | 21.2188 | 1.0665 | 1.8477e+03 | 21.4594 |
|---|
| 81 | 11 | 25.0000 | 21.2204 | 1.0665 | 1.8528e+03 | 21.4610 |
|---|
| 82 | 11 | 26.0000 | 21.2220 | 1.0665 | 1.8580e+03 | 21.4626 |
|---|
| 83 | 11 | 27.0000 | 21.2235 | 1.0665 | 1.8632e+03 | 21.4642 |
|---|
| 84 | 11 | 28.0000 | 21.2251 | 1.0665 | 1.8683e+03 | 21.4658 |
|---|
| 85 | 11 | 29.0000 | 21.2267 | 1.0665 | 1.8735e+03 | 21.4674 |
|---|
| 86 | 11 | 30.0000 | 21.2283 | 1.0665 | 1.8786e+03 | 21.4690 |
|---|
| 87 | 11 | 31.0000 | 21.2298 | 1.0665 | 1.8838e+03 | 21.4706 |
|---|
| 88 | 11 | 32.0000 | 21.2314 | 1.0665 | 1.8889e+03 | 21.4722 |
|---|
| 89 | 11 | 33.0000 | 21.2330 | 1.0665 | 1.8941e+03 | 21.4738 |
|---|
| 90 | 11 | 34.0000 | 21.2346 | 1.0665 | 1.8992e+03 | 21.4754 |
|---|
| 91 | 11 | 35.0000 | 21.2361 | 1.0665 | 1.9044e+03 | 21.4770 |
|---|
| 92 | 11 | 36.0000 | 21.2377 | 1.0665 | 1.9096e+03 | 21.4786 |
|---|
| 93 | 11 | 37.0000 | 21.2393 | 1.0665 | 1.9147e+03 | 21.4802 |
|---|
| 94 | 11 | 38.0000 | 21.2409 | 1.0665 | 1.9199e+03 | 21.4817 |
|---|
| 95 | 11 | 39.0000 | 21.2424 | 1.0665 | 1.9250e+03 | 21.4833 |
|---|
| 96 | 11 | 40.0000 | 21.2440 | 1.0665 | 1.9302e+03 | 21.4849 |
|---|
| 97 | 11 | 41.0000 | 21.2456 | 1.0665 | 1.9353e+03 | 21.4865 |
|---|
| 98 | 11 | 42.0000 | 21.2472 | 1.0665 | 1.9405e+03 | 21.4881 |
|---|
| 99 | 11 | 43.0000 | 21.2488 | 1.0665 | 1.9456e+03 | 21.4897 |
|---|
| 100 | 11 | 44.0000 | 21.2503 | 1.0665 | 1.9508e+03 | 21.4913 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | [ ] |
|---|
| 5 | [ ] |
|---|
| 6 | [ ] |
|---|
| 7 | [ ] |
|---|
| 8 | [ ] |
|---|
| 9 | [ ] |
|---|
| 10 | [ ] |
|---|
| 11 | [ ] |
|---|
| 12 | [ ] |
|---|
| 13 | [ ] |
|---|
| 14 | [ ] |
|---|
| 15 | [ ] |
|---|
| 16 | [ ] |
|---|
| 17 | [ ] |
|---|
| 18 | [ ] |
|---|
| 19 | [ ] |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 246×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 12 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 12 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 12 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 12 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 12 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 12 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 12 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 12 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 12 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 12 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 12 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 12 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 12 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 12 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 12 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 12 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 12 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 12 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 12 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 12 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 12 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 12 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 12 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 12 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 12 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 12 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 12 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 12 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 12 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 12 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 12 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 12 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 12 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 12 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 12 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 12 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 12 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 12 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 12 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 12 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 12 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 12 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 12 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 12 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 12 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 12 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 12 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 12 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 12 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 12 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 12 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 12 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 12 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 12 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 12 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 12 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 12 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 12 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 12 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 12 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 12 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 12 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 12 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 12 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 12 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 12 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 12 | 11.0000 | 21.1930 | 1.0665 | 1.7553e+03 | 21.4333 |
|---|
| 68 | 12 | 12.0000 | 21.1943 | 1.0665 | 1.7609e+03 | 21.4347 |
|---|
| 69 | 12 | 13.0000 | 21.1952 | 1.0665 | 1.7666e+03 | 21.4356 |
|---|
| 70 | 12 | 14.0000 | 21.1968 | 1.0665 | 1.7722e+03 | 21.4371 |
|---|
| 71 | 12 | 15.0000 | 21.1985 | 1.0665 | 1.7778e+03 | 21.4389 |
|---|
| 72 | 12 | 16.0000 | 21.2002 | 1.0665 | 1.7835e+03 | 21.4407 |
|---|
| 73 | 12 | 17.0000 | 21.2020 | 1.0665 | 1.7891e+03 | 21.4424 |
|---|
| 74 | 12 | 18.0000 | 21.2037 | 1.0665 | 1.7947e+03 | 21.4441 |
|---|
| 75 | 12 | 19.0000 | 21.2054 | 1.0665 | 1.8003e+03 | 21.4459 |
|---|
| 76 | 12 | 20.0000 | 21.2071 | 1.0665 | 1.8060e+03 | 21.4476 |
|---|
| 77 | 12 | 21.0000 | 21.2088 | 1.0665 | 1.8116e+03 | 21.4494 |
|---|
| 78 | 12 | 22.0000 | 21.2106 | 1.0665 | 1.8172e+03 | 21.4511 |
|---|
| 79 | 12 | 23.0000 | 21.2123 | 1.0665 | 1.8228e+03 | 21.4528 |
|---|
| 80 | 12 | 24.0000 | 21.2140 | 1.0665 | 1.8285e+03 | 21.4546 |
|---|
| 81 | 12 | 25.0000 | 21.2157 | 1.0665 | 1.8341e+03 | 21.4563 |
|---|
| 82 | 12 | 26.0000 | 21.2174 | 1.0665 | 1.8397e+03 | 21.4580 |
|---|
| 83 | 12 | 27.0000 | 21.2192 | 1.0665 | 1.8453e+03 | 21.4598 |
|---|
| 84 | 12 | 28.0000 | 21.2209 | 1.0665 | 1.8509e+03 | 21.4615 |
|---|
| 85 | 12 | 29.0000 | 21.2226 | 1.0665 | 1.8566e+03 | 21.4633 |
|---|
| 86 | 12 | 30.0000 | 21.2243 | 1.0665 | 1.8622e+03 | 21.4650 |
|---|
| 87 | 12 | 31.0000 | 21.2260 | 1.0665 | 1.8678e+03 | 21.4667 |
|---|
| 88 | 12 | 32.0000 | 21.2278 | 1.0665 | 1.8734e+03 | 21.4685 |
|---|
| 89 | 12 | 33.0000 | 21.2295 | 1.0665 | 1.8791e+03 | 21.4702 |
|---|
| 90 | 12 | 34.0000 | 21.2312 | 1.0665 | 1.8847e+03 | 21.4720 |
|---|
| 91 | 12 | 35.0000 | 21.2329 | 1.0665 | 1.8903e+03 | 21.4737 |
|---|
| 92 | 12 | 36.0000 | 21.2346 | 1.0665 | 1.8959e+03 | 21.4754 |
|---|
| 93 | 12 | 37.0000 | 21.2364 | 1.0665 | 1.9016e+03 | 21.4772 |
|---|
| 94 | 12 | 38.0000 | 21.2381 | 1.0665 | 1.9072e+03 | 21.4789 |
|---|
| 95 | 12 | 39.0000 | 21.2398 | 1.0665 | 1.9128e+03 | 21.4807 |
|---|
| 96 | 12 | 40.0000 | 21.2415 | 1.0665 | 1.9184e+03 | 21.4824 |
|---|
| 97 | 12 | 41.0000 | 21.2432 | 1.0665 | 1.9241e+03 | 21.4841 |
|---|
| 98 | 12 | 42.0000 | 21.2449 | 1.0665 | 1.9297e+03 | 21.4859 |
|---|
| 99 | 12 | 43.0000 | 21.2467 | 1.0665 | 1.9353e+03 | 21.4876 |
|---|
| 100 | 12 | 44.0000 | 21.2484 | 1.0665 | 1.9409e+03 | 21.4893 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | [ ] |
|---|
| 6 | [ ] |
|---|
| 7 | [ ] |
|---|
| 8 | [ ] |
|---|
| 9 | [ ] |
|---|
| 10 | [ ] |
|---|
| 11 | [ ] |
|---|
| 12 | [ ] |
|---|
| 13 | [ ] |
|---|
| 14 | [ ] |
|---|
| 15 | [ ] |
|---|
| 16 | [ ] |
|---|
| 17 | [ ] |
|---|
| 18 | [ ] |
|---|
| 19 | [ ] |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 222×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 13 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 13 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 13 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 13 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 13 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 13 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 13 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 13 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 13 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 13 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 13 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 13 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 13 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 13 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 13 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 13 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 13 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 13 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 13 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 13 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 13 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 13 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 13 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 13 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 13 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 13 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 13 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 13 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 13 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 13 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 13 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 13 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 13 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 13 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 13 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 13 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 13 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 13 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 13 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 13 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 13 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 13 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 13 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 13 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 13 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 13 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 13 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 13 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 13 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 13 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 13 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 13 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 13 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 13 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 13 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 13 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 13 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 13 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 13 | 5.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 13 | 5.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 13 | 5.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 13 | 5.8224 | 21.1937 | 1.0665 | 1.7547e+03 | 21.4341 |
|---|
| 63 | 13 | 6.6448 | 21.1951 | 1.0665 | 1.7597e+03 | 21.4354 |
|---|
| 64 | 13 | 7.4672 | 21.1958 | 1.0665 | 1.7647e+03 | 21.4361 |
|---|
| 65 | 13 | 8.4672 | 21.1974 | 1.0665 | 1.7708e+03 | 21.4378 |
|---|
| 66 | 13 | 9.4672 | 21.1993 | 1.0665 | 1.7769e+03 | 21.4397 |
|---|
| 67 | 13 | 10.4672 | 21.2012 | 1.0665 | 1.7830e+03 | 21.4416 |
|---|
| 68 | 13 | 11.4672 | 21.2030 | 1.0665 | 1.7891e+03 | 21.4435 |
|---|
| 69 | 13 | 12.4672 | 21.2049 | 1.0665 | 1.7952e+03 | 21.4454 |
|---|
| 70 | 13 | 13.4672 | 21.2068 | 1.0665 | 1.8013e+03 | 21.4473 |
|---|
| 71 | 13 | 14.4672 | 21.2086 | 1.0665 | 1.8074e+03 | 21.4491 |
|---|
| 72 | 13 | 15.4672 | 21.2105 | 1.0665 | 1.8135e+03 | 21.4510 |
|---|
| 73 | 13 | 16.4672 | 21.2124 | 1.0665 | 1.8196e+03 | 21.4529 |
|---|
| 74 | 13 | 17.4672 | 21.2142 | 1.0665 | 1.8257e+03 | 21.4548 |
|---|
| 75 | 13 | 18.4672 | 21.2161 | 1.0665 | 1.8317e+03 | 21.4567 |
|---|
| 76 | 13 | 19.4672 | 21.2179 | 1.0665 | 1.8378e+03 | 21.4586 |
|---|
| 77 | 13 | 20.4672 | 21.2198 | 1.0665 | 1.8439e+03 | 21.4604 |
|---|
| 78 | 13 | 21.4672 | 21.2217 | 1.0665 | 1.8500e+03 | 21.4623 |
|---|
| 79 | 13 | 22.4672 | 21.2235 | 1.0665 | 1.8561e+03 | 21.4642 |
|---|
| 80 | 13 | 23.4672 | 21.2254 | 1.0665 | 1.8622e+03 | 21.4661 |
|---|
| 81 | 13 | 24.4672 | 21.2273 | 1.0665 | 1.8683e+03 | 21.4680 |
|---|
| 82 | 13 | 25.4672 | 21.2291 | 1.0665 | 1.8744e+03 | 21.4699 |
|---|
| 83 | 13 | 26.4672 | 21.2310 | 1.0665 | 1.8805e+03 | 21.4717 |
|---|
| 84 | 13 | 27.4672 | 21.2328 | 1.0665 | 1.8866e+03 | 21.4736 |
|---|
| 85 | 13 | 28.4672 | 21.2347 | 1.0665 | 1.8927e+03 | 21.4755 |
|---|
| 86 | 13 | 29.4672 | 21.2366 | 1.0665 | 1.8988e+03 | 21.4774 |
|---|
| 87 | 13 | 30.4672 | 21.2384 | 1.0665 | 1.9048e+03 | 21.4793 |
|---|
| 88 | 13 | 31.4672 | 21.2403 | 1.0665 | 1.9109e+03 | 21.4812 |
|---|
| 89 | 13 | 32.4672 | 21.2422 | 1.0665 | 1.9170e+03 | 21.4830 |
|---|
| 90 | 13 | 33.4672 | 21.2440 | 1.0665 | 1.9231e+03 | 21.4849 |
|---|
| 91 | 13 | 34.4672 | 21.2459 | 1.0665 | 1.9292e+03 | 21.4868 |
|---|
| 92 | 13 | 35.4672 | 21.2477 | 1.0665 | 1.9353e+03 | 21.4887 |
|---|
| 93 | 13 | 36.4672 | 21.2496 | 1.0665 | 1.9414e+03 | 21.4906 |
|---|
| 94 | 13 | 37.4672 | 21.2515 | 1.0665 | 1.9475e+03 | 21.4925 |
|---|
| 95 | 13 | 38.4672 | 21.2533 | 1.0665 | 1.9536e+03 | 21.4944 |
|---|
| 96 | 13 | 39.4672 | 21.2552 | 1.0665 | 1.9597e+03 | 21.4962 |
|---|
| 97 | 13 | 40.4672 | 21.2571 | 1.0665 | 1.9658e+03 | 21.4981 |
|---|
| 98 | 13 | 41.4672 | 21.2589 | 1.0665 | 1.9719e+03 | 21.5000 |
|---|
| 99 | 13 | 42.4672 | 21.2608 | 1.0665 | 1.9780e+03 | 21.5019 |
|---|
| 100 | 13 | 43.4672 | 21.2626 | 1.0665 | 1.9840e+03 | 21.5038 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | [ ] |
|---|
| 7 | [ ] |
|---|
| 8 | [ ] |
|---|
| 9 | [ ] |
|---|
| 10 | [ ] |
|---|
| 11 | [ ] |
|---|
| 12 | [ ] |
|---|
| 13 | [ ] |
|---|
| 14 | [ ] |
|---|
| 15 | [ ] |
|---|
| 16 | [ ] |
|---|
| 17 | [ ] |
|---|
| 18 | [ ] |
|---|
| 19 | [ ] |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 207×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 14 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 14 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 14 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 14 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 14 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 14 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 14 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 14 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 14 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 14 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 14 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 14 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 14 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 14 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 14 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 14 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 14 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 14 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 14 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 14 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 14 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 14 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 14 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 14 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 14 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 14 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 14 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 14 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 14 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 14 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 14 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 14 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 14 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 14 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 14 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 14 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 14 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 14 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 14 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 14 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 14 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 14 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 14 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 14 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 14 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 14 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 14 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 14 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 14 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 14 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 14 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 14 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 14 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 14 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 14 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 14 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 14 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 14 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 14 | 5.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 14 | 5.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 14 | 5.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 14 | 5.7656 | 21.1961 | 1.0665 | 1.7550e+03 | 21.4365 |
|---|
| 63 | 14 | 6.5312 | 21.1968 | 1.0665 | 1.7604e+03 | 21.4372 |
|---|
| 64 | 14 | 7.2969 | 21.1981 | 1.0665 | 1.7658e+03 | 21.4385 |
|---|
| 65 | 14 | 8.0625 | 21.1997 | 1.0665 | 1.7712e+03 | 21.4401 |
|---|
| 66 | 14 | 9.0625 | 21.2019 | 1.0665 | 1.7782e+03 | 21.4423 |
|---|
| 67 | 14 | 10.0625 | 21.2040 | 1.0665 | 1.7852e+03 | 21.4445 |
|---|
| 68 | 14 | 11.0625 | 21.2062 | 1.0665 | 1.7923e+03 | 21.4466 |
|---|
| 69 | 14 | 12.0625 | 21.2083 | 1.0665 | 1.7993e+03 | 21.4488 |
|---|
| 70 | 14 | 13.0625 | 21.2105 | 1.0665 | 1.8063e+03 | 21.4510 |
|---|
| 71 | 14 | 14.0625 | 21.2126 | 1.0665 | 1.8134e+03 | 21.4532 |
|---|
| 72 | 14 | 15.0625 | 21.2148 | 1.0665 | 1.8204e+03 | 21.4553 |
|---|
| 73 | 14 | 16.0625 | 21.2169 | 1.0665 | 1.8274e+03 | 21.4575 |
|---|
| 74 | 14 | 17.0625 | 21.2191 | 1.0665 | 1.8344e+03 | 21.4597 |
|---|
| 75 | 14 | 18.0625 | 21.2212 | 1.0665 | 1.8415e+03 | 21.4619 |
|---|
| 76 | 14 | 19.0625 | 21.2234 | 1.0665 | 1.8485e+03 | 21.4640 |
|---|
| 77 | 14 | 20.0625 | 21.2255 | 1.0665 | 1.8555e+03 | 21.4662 |
|---|
| 78 | 14 | 21.0625 | 21.2277 | 1.0665 | 1.8626e+03 | 21.4684 |
|---|
| 79 | 14 | 22.0625 | 21.2298 | 1.0665 | 1.8696e+03 | 21.4706 |
|---|
| 80 | 14 | 23.0625 | 21.2319 | 1.0665 | 1.8766e+03 | 21.4727 |
|---|
| 81 | 14 | 24.0625 | 21.2341 | 1.0665 | 1.8836e+03 | 21.4749 |
|---|
| 82 | 14 | 25.0625 | 21.2362 | 1.0665 | 1.8907e+03 | 21.4771 |
|---|
| 83 | 14 | 26.0625 | 21.2384 | 1.0665 | 1.8977e+03 | 21.4792 |
|---|
| 84 | 14 | 27.0625 | 21.2405 | 1.0665 | 1.9047e+03 | 21.4814 |
|---|
| 85 | 14 | 28.0625 | 21.2427 | 1.0665 | 1.9118e+03 | 21.4836 |
|---|
| 86 | 14 | 29.0625 | 21.2448 | 1.0665 | 1.9188e+03 | 21.4858 |
|---|
| 87 | 14 | 30.0625 | 21.2470 | 1.0665 | 1.9258e+03 | 21.4879 |
|---|
| 88 | 14 | 31.0625 | 21.2491 | 1.0665 | 1.9328e+03 | 21.4901 |
|---|
| 89 | 14 | 32.0625 | 21.2513 | 1.0665 | 1.9399e+03 | 21.4923 |
|---|
| 90 | 14 | 33.0625 | 21.2534 | 1.0665 | 1.9469e+03 | 21.4945 |
|---|
| 91 | 14 | 34.0625 | 21.2556 | 1.0665 | 1.9539e+03 | 21.4966 |
|---|
| 92 | 14 | 35.0625 | 21.2577 | 1.0665 | 1.9610e+03 | 21.4988 |
|---|
| 93 | 14 | 36.0625 | 21.2599 | 1.0665 | 1.9680e+03 | 21.5010 |
|---|
| 94 | 14 | 37.0625 | 21.2620 | 1.0665 | 1.9750e+03 | 21.5032 |
|---|
| 95 | 14 | 38.0625 | 21.2642 | 1.0665 | 1.9821e+03 | 21.5053 |
|---|
| 96 | 14 | 39.0625 | 21.2663 | 1.0665 | 1.9891e+03 | 21.5075 |
|---|
| 97 | 14 | 40.0625 | 21.2685 | 1.0665 | 1.9961e+03 | 21.5097 |
|---|
| 98 | 14 | 41.0625 | 21.2706 | 1.0665 | 2.0031e+03 | 21.5119 |
|---|
| 99 | 14 | 42.0625 | 21.2728 | 1.0665 | 2.0102e+03 | 21.5140 |
|---|
| 100 | 14 | 43.0625 | 21.2749 | 1.0665 | 2.0172e+03 | 21.5162 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | [ ] |
|---|
| 8 | [ ] |
|---|
| 9 | [ ] |
|---|
| 10 | [ ] |
|---|
| 11 | [ ] |
|---|
| 12 | [ ] |
|---|
| 13 | [ ] |
|---|
| 14 | [ ] |
|---|
| 15 | [ ] |
|---|
| 16 | [ ] |
|---|
| 17 | [ ] |
|---|
| 18 | [ ] |
|---|
| 19 | [ ] |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 177×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 15 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 15 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 15 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 15 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 15 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 15 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 15 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 15 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 15 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 15 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 15 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 15 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 15 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 15 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 15 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 15 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 15 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 15 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 15 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 15 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 15 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 15 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 15 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 15 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 15 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 15 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 15 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 15 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 15 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 15 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 15 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 15 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 15 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 15 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 15 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 15 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 15 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 15 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 15 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 15 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 15 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 15 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 15 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 15 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 15 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 15 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 15 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 15 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 15 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 15 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 15 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 15 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 15 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 15 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 15 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 15 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 15 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 15 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 15 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 15 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 15 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 15 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 15 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 15 | 10.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 15 | 11.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 15 | 12.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 15 | 13.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 68 | 15 | 14.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 69 | 15 | 15.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 70 | 15 | 15.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 71 | 15 | 15.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 72 | 15 | 15.6802 | 21.2007 | 1.0665 | 1.7555e+03 | 21.4411 |
|---|
| 73 | 15 | 16.3605 | 21.2026 | 1.0665 | 1.7616e+03 | 21.4430 |
|---|
| 74 | 15 | 17.0407 | 21.2032 | 1.0665 | 1.7677e+03 | 21.4437 |
|---|
| 75 | 15 | 18.0407 | 21.2057 | 1.0665 | 1.7766e+03 | 21.4461 |
|---|
| 76 | 15 | 19.0407 | 21.2084 | 1.0665 | 1.7855e+03 | 21.4489 |
|---|
| 77 | 15 | 20.0407 | 21.2111 | 1.0665 | 1.7944e+03 | 21.4517 |
|---|
| 78 | 15 | 21.0407 | 21.2138 | 1.0665 | 1.8033e+03 | 21.4544 |
|---|
| 79 | 15 | 22.0407 | 21.2166 | 1.0665 | 1.8122e+03 | 21.4572 |
|---|
| 80 | 15 | 23.0407 | 21.2193 | 1.0665 | 1.8211e+03 | 21.4599 |
|---|
| 81 | 15 | 24.0407 | 21.2220 | 1.0665 | 1.8300e+03 | 21.4627 |
|---|
| 82 | 15 | 25.0407 | 21.2247 | 1.0665 | 1.8389e+03 | 21.4654 |
|---|
| 83 | 15 | 26.0407 | 21.2275 | 1.0665 | 1.8478e+03 | 21.4682 |
|---|
| 84 | 15 | 27.0407 | 21.2302 | 1.0665 | 1.8568e+03 | 21.4709 |
|---|
| 85 | 15 | 28.0407 | 21.2329 | 1.0665 | 1.8657e+03 | 21.4737 |
|---|
| 86 | 15 | 29.0407 | 21.2356 | 1.0665 | 1.8746e+03 | 21.4764 |
|---|
| 87 | 15 | 30.0407 | 21.2383 | 1.0665 | 1.8835e+03 | 21.4792 |
|---|
| 88 | 15 | 31.0407 | 21.2411 | 1.0665 | 1.8924e+03 | 21.4819 |
|---|
| 89 | 15 | 32.0407 | 21.2438 | 1.0665 | 1.9013e+03 | 21.4847 |
|---|
| 90 | 15 | 33.0407 | 21.2465 | 1.0665 | 1.9102e+03 | 21.4875 |
|---|
| 91 | 15 | 34.0407 | 21.2492 | 1.0665 | 1.9191e+03 | 21.4902 |
|---|
| 92 | 15 | 35.0407 | 21.2520 | 1.0665 | 1.9280e+03 | 21.4930 |
|---|
| 93 | 15 | 36.0407 | 21.2547 | 1.0665 | 1.9369e+03 | 21.4957 |
|---|
| 94 | 15 | 37.0407 | 21.2574 | 1.0665 | 1.9458e+03 | 21.4985 |
|---|
| 95 | 15 | 38.0407 | 21.2601 | 1.0665 | 1.9547e+03 | 21.5012 |
|---|
| 96 | 15 | 39.0407 | 21.2628 | 1.0665 | 1.9636e+03 | 21.5040 |
|---|
| 97 | 15 | 40.0407 | 21.2656 | 1.0665 | 1.9725e+03 | 21.5067 |
|---|
| 98 | 15 | 41.0407 | 21.2683 | 1.0665 | 1.9814e+03 | 21.5095 |
|---|
| 99 | 15 | 42.0407 | 21.2710 | 1.0665 | 1.9903e+03 | 21.5122 |
|---|
| 100 | 15 | 43.0407 | 21.2737 | 1.0665 | 1.9992e+03 | 21.5150 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | [ ] |
|---|
| 9 | [ ] |
|---|
| 10 | [ ] |
|---|
| 11 | [ ] |
|---|
| 12 | [ ] |
|---|
| 13 | [ ] |
|---|
| 14 | [ ] |
|---|
| 15 | [ ] |
|---|
| 16 | [ ] |
|---|
| 17 | [ ] |
|---|
| 18 | [ ] |
|---|
| 19 | [ ] |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 276×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 16 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 16 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 16 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 16 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 16 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 16 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 16 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 16 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 16 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 16 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 16 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 16 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 16 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 16 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 16 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 16 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 16 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 16 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 16 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 16 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 16 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 16 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 16 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 16 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 16 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 16 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 16 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 16 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 16 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 16 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 16 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 16 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 16 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 16 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 16 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 16 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 16 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 16 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 16 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 16 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 16 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 16 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 16 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 16 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 16 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 16 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 16 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 16 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 16 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 16 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 16 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 16 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 16 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 16 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 16 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 16 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 16 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 16 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 16 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 16 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 16 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 16 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 16 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 16 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 16 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 16 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 16 | 11.0000 | 21.1672 | 1.0669 | 1.7496e+03 | 21.4159 |
|---|
| 68 | 16 | 12.0000 | 21.1541 | 1.0675 | 1.7489e+03 | 21.4152 |
|---|
| 69 | 16 | 13.0000 | 21.1401 | 1.0682 | 1.7481e+03 | 21.4148 |
|---|
| 70 | 16 | 14.0000 | 21.1259 | 1.0689 | 1.7473e+03 | 21.4145 |
|---|
| 71 | 16 | 15.0000 | 21.1116 | 1.0696 | 1.7465e+03 | 21.4143 |
|---|
| 72 | 16 | 16.0000 | 21.0973 | 1.0703 | 1.7456e+03 | 21.4140 |
|---|
| 73 | 16 | 17.0000 | 21.0831 | 1.0711 | 1.7448e+03 | 21.4138 |
|---|
| 74 | 16 | 18.0000 | 21.0688 | 1.0718 | 1.7440e+03 | 21.4135 |
|---|
| 75 | 16 | 19.0000 | 21.0546 | 1.0725 | 1.7432e+03 | 21.4133 |
|---|
| 76 | 16 | 20.0000 | 21.0404 | 1.0732 | 1.7424e+03 | 21.4130 |
|---|
| 77 | 16 | 21.0000 | 21.0263 | 1.0739 | 1.7416e+03 | 21.4128 |
|---|
| 78 | 16 | 22.0000 | 21.0121 | 1.0746 | 1.7408e+03 | 21.4125 |
|---|
| 79 | 16 | 23.0000 | 20.9980 | 1.0753 | 1.7400e+03 | 21.4123 |
|---|
| 80 | 16 | 24.0000 | 20.9839 | 1.0760 | 1.7392e+03 | 21.4120 |
|---|
| 81 | 16 | 25.0000 | 20.9698 | 1.0767 | 1.7384e+03 | 21.4118 |
|---|
| 82 | 16 | 26.0000 | 20.9557 | 1.0775 | 1.7375e+03 | 21.4115 |
|---|
| 83 | 16 | 27.0000 | 20.9416 | 1.0782 | 1.7367e+03 | 21.4113 |
|---|
| 84 | 16 | 28.0000 | 20.9276 | 1.0789 | 1.7359e+03 | 21.4110 |
|---|
| 85 | 16 | 29.0000 | 20.9135 | 1.0796 | 1.7351e+03 | 21.4108 |
|---|
| 86 | 16 | 30.0000 | 20.8995 | 1.0803 | 1.7343e+03 | 21.4106 |
|---|
| 87 | 16 | 31.0000 | 20.8856 | 1.0810 | 1.7335e+03 | 21.4103 |
|---|
| 88 | 16 | 32.0000 | 20.8716 | 1.0817 | 1.7327e+03 | 21.4101 |
|---|
| 89 | 16 | 33.0000 | 20.8576 | 1.0824 | 1.7319e+03 | 21.4098 |
|---|
| 90 | 16 | 34.0000 | 20.8437 | 1.0831 | 1.7311e+03 | 21.4096 |
|---|
| 91 | 16 | 35.0000 | 20.8298 | 1.0839 | 1.7303e+03 | 21.4093 |
|---|
| 92 | 16 | 36.0000 | 20.8159 | 1.0846 | 1.7295e+03 | 21.4091 |
|---|
| 93 | 16 | 37.0000 | 20.8020 | 1.0853 | 1.7287e+03 | 21.4088 |
|---|
| 94 | 16 | 38.0000 | 20.7882 | 1.0860 | 1.7279e+03 | 21.4086 |
|---|
| 95 | 16 | 39.0000 | 20.7743 | 1.0867 | 1.7271e+03 | 21.4083 |
|---|
| 96 | 16 | 40.0000 | 20.7605 | 1.0874 | 1.7263e+03 | 21.4081 |
|---|
| 97 | 16 | 41.0000 | 20.7467 | 1.0881 | 1.7255e+03 | 21.4078 |
|---|
| 98 | 16 | 42.0000 | 20.7329 | 1.0888 | 1.7247e+03 | 21.4076 |
|---|
| 99 | 16 | 43.0000 | 20.7191 | 1.0895 | 1.7239e+03 | 21.4074 |
|---|
| 100 | 16 | 44.0000 | 20.7054 | 1.0903 | 1.7231e+03 | 21.4071 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | 276×6 table |
|---|
| 9 | [ ] |
|---|
| 10 | [ ] |
|---|
| 11 | [ ] |
|---|
| 12 | [ ] |
|---|
| 13 | [ ] |
|---|
| 14 | [ ] |
|---|
| 15 | [ ] |
|---|
| 16 | [ ] |
|---|
| 17 | [ ] |
|---|
| 18 | [ ] |
|---|
| 19 | [ ] |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 271×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 17 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 17 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 17 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 17 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 17 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 17 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 17 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 17 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 17 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 17 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 17 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 17 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 17 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 17 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 17 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 17 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 17 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 17 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 17 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 17 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 17 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 17 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 17 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 17 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 17 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 17 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 17 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 17 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 17 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 17 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 17 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 17 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 17 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 17 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 17 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 17 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 17 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 17 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 17 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 17 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 17 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 17 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 17 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 17 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 17 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 17 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 17 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 17 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 17 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 17 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 17 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 17 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 17 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 17 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 17 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 17 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 17 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 17 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 17 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 17 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 17 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 17 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 17 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 17 | 10.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 17 | 11.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 17 | 12.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 17 | 13.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 68 | 17 | 14.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 69 | 17 | 15.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 70 | 17 | 15.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 71 | 17 | 15.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 72 | 17 | 16.0000 | 21.1647 | 1.0670 | 1.7495e+03 | 21.4155 |
|---|
| 73 | 17 | 17.0000 | 21.1484 | 1.0678 | 1.7486e+03 | 21.4146 |
|---|
| 74 | 17 | 18.0000 | 21.1309 | 1.0687 | 1.7476e+03 | 21.4142 |
|---|
| 75 | 17 | 19.0000 | 21.1131 | 1.0695 | 1.7466e+03 | 21.4139 |
|---|
| 76 | 17 | 20.0000 | 21.0953 | 1.0704 | 1.7456e+03 | 21.4135 |
|---|
| 77 | 17 | 21.0000 | 21.0775 | 1.0713 | 1.7446e+03 | 21.4132 |
|---|
| 78 | 17 | 22.0000 | 21.0597 | 1.0722 | 1.7435e+03 | 21.4129 |
|---|
| 79 | 17 | 23.0000 | 21.0419 | 1.0731 | 1.7425e+03 | 21.4126 |
|---|
| 80 | 17 | 24.0000 | 21.0242 | 1.0740 | 1.7415e+03 | 21.4123 |
|---|
| 81 | 17 | 25.0000 | 21.0065 | 1.0749 | 1.7405e+03 | 21.4120 |
|---|
| 82 | 17 | 26.0000 | 20.9889 | 1.0758 | 1.7395e+03 | 21.4117 |
|---|
| 83 | 17 | 27.0000 | 20.9713 | 1.0766 | 1.7385e+03 | 21.4114 |
|---|
| 84 | 17 | 28.0000 | 20.9537 | 1.0775 | 1.7375e+03 | 21.4111 |
|---|
| 85 | 17 | 29.0000 | 20.9361 | 1.0784 | 1.7365e+03 | 21.4107 |
|---|
| 86 | 17 | 30.0000 | 20.9185 | 1.0793 | 1.7355e+03 | 21.4104 |
|---|
| 87 | 17 | 31.0000 | 20.9010 | 1.0802 | 1.7344e+03 | 21.4101 |
|---|
| 88 | 17 | 32.0000 | 20.8835 | 1.0811 | 1.7334e+03 | 21.4098 |
|---|
| 89 | 17 | 33.0000 | 20.8661 | 1.0820 | 1.7324e+03 | 21.4095 |
|---|
| 90 | 17 | 34.0000 | 20.8487 | 1.0829 | 1.7314e+03 | 21.4092 |
|---|
| 91 | 17 | 35.0000 | 20.8313 | 1.0838 | 1.7304e+03 | 21.4089 |
|---|
| 92 | 17 | 36.0000 | 20.8139 | 1.0846 | 1.7294e+03 | 21.4086 |
|---|
| 93 | 17 | 37.0000 | 20.7966 | 1.0855 | 1.7284e+03 | 21.4083 |
|---|
| 94 | 17 | 38.0000 | 20.7793 | 1.0864 | 1.7274e+03 | 21.4080 |
|---|
| 95 | 17 | 39.0000 | 20.7620 | 1.0873 | 1.7264e+03 | 21.4077 |
|---|
| 96 | 17 | 40.0000 | 20.7447 | 1.0882 | 1.7254e+03 | 21.4074 |
|---|
| 97 | 17 | 41.0000 | 20.7275 | 1.0891 | 1.7244e+03 | 21.4070 |
|---|
| 98 | 17 | 42.0000 | 20.7103 | 1.0900 | 1.7234e+03 | 21.4067 |
|---|
| 99 | 17 | 43.0000 | 20.6931 | 1.0909 | 1.7224e+03 | 21.4064 |
|---|
| 100 | 17 | 44.0000 | 20.6760 | 1.0918 | 1.7214e+03 | 21.4061 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | 276×6 table |
|---|
| 9 | 271×6 table |
|---|
| 10 | [ ] |
|---|
| 11 | [ ] |
|---|
| 12 | [ ] |
|---|
| 13 | [ ] |
|---|
| 14 | [ ] |
|---|
| 15 | [ ] |
|---|
| 16 | [ ] |
|---|
| 17 | [ ] |
|---|
| 18 | [ ] |
|---|
| 19 | [ ] |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 281×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 18 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 18 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 18 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 18 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 18 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 18 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 18 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 18 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 18 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 18 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 18 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 18 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 18 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 18 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 18 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 18 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 18 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 18 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 18 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 18 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 18 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 18 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 18 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 18 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 18 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 18 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 18 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 18 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 18 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 18 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 18 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 18 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 18 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 18 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 18 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 18 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 18 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 18 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 18 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 18 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 18 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 18 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 18 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 18 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 18 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 18 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 18 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 18 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 18 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 18 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 18 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 18 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 18 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 18 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 18 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 18 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 18 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 18 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 18 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 18 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 18 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 18 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 18 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 18 | 10.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 18 | 11.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 18 | 12.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 18 | 13.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 68 | 18 | 14.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 69 | 18 | 15.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 70 | 18 | 16.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 71 | 18 | 17.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 72 | 18 | 18.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 73 | 18 | 19.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 74 | 18 | 20.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 75 | 18 | 20.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 76 | 18 | 20.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 77 | 18 | 21.0000 | 21.1682 | 1.0669 | 1.7496e+03 | 21.4160 |
|---|
| 78 | 18 | 22.0000 | 21.1564 | 1.0674 | 1.7490e+03 | 21.4154 |
|---|
| 79 | 18 | 23.0000 | 21.1438 | 1.0680 | 1.7483e+03 | 21.4151 |
|---|
| 80 | 18 | 24.0000 | 21.1310 | 1.0687 | 1.7476e+03 | 21.4148 |
|---|
| 81 | 18 | 25.0000 | 21.1181 | 1.0693 | 1.7468e+03 | 21.4146 |
|---|
| 82 | 18 | 26.0000 | 21.1053 | 1.0700 | 1.7461e+03 | 21.4144 |
|---|
| 83 | 18 | 27.0000 | 21.0924 | 1.0706 | 1.7454e+03 | 21.4141 |
|---|
| 84 | 18 | 28.0000 | 21.0796 | 1.0712 | 1.7446e+03 | 21.4139 |
|---|
| 85 | 18 | 29.0000 | 21.0668 | 1.0719 | 1.7439e+03 | 21.4137 |
|---|
| 86 | 18 | 30.0000 | 21.0540 | 1.0725 | 1.7432e+03 | 21.4135 |
|---|
| 87 | 18 | 31.0000 | 21.0413 | 1.0732 | 1.7424e+03 | 21.4132 |
|---|
| 88 | 18 | 32.0000 | 21.0285 | 1.0738 | 1.7417e+03 | 21.4130 |
|---|
| 89 | 18 | 33.0000 | 21.0158 | 1.0744 | 1.7410e+03 | 21.4128 |
|---|
| 90 | 18 | 34.0000 | 21.0030 | 1.0751 | 1.7402e+03 | 21.4126 |
|---|
| 91 | 18 | 35.0000 | 20.9903 | 1.0757 | 1.7395e+03 | 21.4123 |
|---|
| 92 | 18 | 36.0000 | 20.9776 | 1.0764 | 1.7388e+03 | 21.4121 |
|---|
| 93 | 18 | 37.0000 | 20.9649 | 1.0770 | 1.7381e+03 | 21.4119 |
|---|
| 94 | 18 | 38.0000 | 20.9523 | 1.0776 | 1.7373e+03 | 21.4117 |
|---|
| 95 | 18 | 39.0000 | 20.9396 | 1.0783 | 1.7366e+03 | 21.4114 |
|---|
| 96 | 18 | 40.0000 | 20.9270 | 1.0789 | 1.7359e+03 | 21.4112 |
|---|
| 97 | 18 | 41.0000 | 20.9144 | 1.0796 | 1.7352e+03 | 21.4110 |
|---|
| 98 | 18 | 42.0000 | 20.9017 | 1.0802 | 1.7344e+03 | 21.4108 |
|---|
| 99 | 18 | 43.0000 | 20.8892 | 1.0808 | 1.7337e+03 | 21.4105 |
|---|
| 100 | 18 | 44.0000 | 20.8766 | 1.0815 | 1.7330e+03 | 21.4103 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | 276×6 table |
|---|
| 9 | 271×6 table |
|---|
| 10 | 281×6 table |
|---|
| 11 | [ ] |
|---|
| 12 | [ ] |
|---|
| 13 | [ ] |
|---|
| 14 | [ ] |
|---|
| 15 | [ ] |
|---|
| 16 | [ ] |
|---|
| 17 | [ ] |
|---|
| 18 | [ ] |
|---|
| 19 | [ ] |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 216×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 19 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 19 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 19 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 19 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 19 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 19 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 19 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 19 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 19 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 19 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 19 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 19 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 19 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 19 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 19 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 19 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 19 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 19 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 19 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 19 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 19 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 19 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 19 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 19 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 19 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 19 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 19 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 19 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 19 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 19 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 19 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 19 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 19 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 19 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 19 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 19 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 19 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 19 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 19 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 19 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 19 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 19 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 19 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 19 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 19 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 19 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 19 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 19 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 19 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 19 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 19 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 19 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 19 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 19 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 19 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 19 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 19 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 19 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 19 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 19 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 19 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 19 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 19 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 19 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 19 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 19 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 19 | 11.0000 | 21.1573 | 1.0673 | 1.7491e+03 | 21.4145 |
|---|
| 68 | 19 | 12.0000 | 21.1311 | 1.0686 | 1.7477e+03 | 21.4130 |
|---|
| 69 | 19 | 13.0000 | 21.1032 | 1.0700 | 1.7461e+03 | 21.4123 |
|---|
| 70 | 19 | 14.0000 | 21.0749 | 1.0714 | 1.7445e+03 | 21.4118 |
|---|
| 71 | 19 | 15.0000 | 21.0465 | 1.0728 | 1.7429e+03 | 21.4113 |
|---|
| 72 | 19 | 16.0000 | 21.0181 | 1.0742 | 1.7413e+03 | 21.4108 |
|---|
| 73 | 19 | 17.0000 | 20.9899 | 1.0756 | 1.7397e+03 | 21.4103 |
|---|
| 74 | 19 | 18.0000 | 20.9617 | 1.0771 | 1.7380e+03 | 21.4098 |
|---|
| 75 | 19 | 19.0000 | 20.9335 | 1.0785 | 1.7364e+03 | 21.4093 |
|---|
| 76 | 19 | 20.0000 | 20.9055 | 1.0799 | 1.7348e+03 | 21.4088 |
|---|
| 77 | 19 | 21.0000 | 20.8775 | 1.0813 | 1.7332e+03 | 21.4083 |
|---|
| 78 | 19 | 22.0000 | 20.8496 | 1.0828 | 1.7316e+03 | 21.4079 |
|---|
| 79 | 19 | 23.0000 | 20.8218 | 1.0842 | 1.7300e+03 | 21.4074 |
|---|
| 80 | 19 | 24.0000 | 20.7941 | 1.0856 | 1.7284e+03 | 21.4069 |
|---|
| 81 | 19 | 25.0000 | 20.7664 | 1.0870 | 1.7268e+03 | 21.4064 |
|---|
| 82 | 19 | 26.0000 | 20.7388 | 1.0884 | 1.7252e+03 | 21.4059 |
|---|
| 83 | 19 | 27.0000 | 20.7112 | 1.0899 | 1.7236e+03 | 21.4054 |
|---|
| 84 | 19 | 28.0000 | 20.6838 | 1.0913 | 1.7220e+03 | 21.4049 |
|---|
| 85 | 19 | 29.0000 | 20.6564 | 1.0927 | 1.7204e+03 | 21.4044 |
|---|
| 86 | 19 | 30.0000 | 20.6291 | 1.0941 | 1.7188e+03 | 21.4040 |
|---|
| 87 | 19 | 31.0000 | 20.6019 | 1.0955 | 1.7173e+03 | 21.4035 |
|---|
| 88 | 19 | 32.0000 | 20.5747 | 1.0970 | 1.7157e+03 | 21.4030 |
|---|
| 89 | 19 | 33.0000 | 20.5476 | 1.0984 | 1.7141e+03 | 21.4025 |
|---|
| 90 | 19 | 34.0000 | 20.5206 | 1.0998 | 1.7125e+03 | 21.4020 |
|---|
| 91 | 19 | 35.0000 | 20.4936 | 1.1012 | 1.7109e+03 | 21.4015 |
|---|
| 92 | 19 | 36.0000 | 20.4667 | 1.1027 | 1.7094e+03 | 21.4011 |
|---|
| 93 | 19 | 37.0000 | 20.4399 | 1.1041 | 1.7078e+03 | 21.4006 |
|---|
| 94 | 19 | 38.0000 | 20.4131 | 1.1055 | 1.7062e+03 | 21.4001 |
|---|
| 95 | 19 | 39.0000 | 20.3865 | 1.1069 | 1.7047e+03 | 21.3996 |
|---|
| 96 | 19 | 40.0000 | 20.3599 | 1.1083 | 1.7031e+03 | 21.3991 |
|---|
| 97 | 19 | 41.0000 | 20.3333 | 1.1098 | 1.7015e+03 | 21.3987 |
|---|
| 98 | 19 | 42.0000 | 20.3068 | 1.1112 | 1.7000e+03 | 21.3982 |
|---|
| 99 | 19 | 43.0000 | 20.2804 | 1.1126 | 1.6984e+03 | 21.3977 |
|---|
| 100 | 19 | 44.0000 | 20.2541 | 1.1140 | 1.6969e+03 | 21.3972 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | 276×6 table |
|---|
| 9 | 271×6 table |
|---|
| 10 | 281×6 table |
|---|
| 11 | 216×6 table |
|---|
| 12 | [ ] |
|---|
| 13 | [ ] |
|---|
| 14 | [ ] |
|---|
| 15 | [ ] |
|---|
| 16 | [ ] |
|---|
| 17 | [ ] |
|---|
| 18 | [ ] |
|---|
| 19 | [ ] |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 226×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 2 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 2 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 2 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 2 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 2 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 2 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 2 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 2 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 2 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 2 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 2 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 2 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 2 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 2 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 2 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 2 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 2 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 2 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 2 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 2 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 2 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 2 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 2 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 2 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 2 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 2 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 2 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 2 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 2 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 2 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 2 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 2 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 2 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 2 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 2 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 2 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 2 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 2 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 2 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 2 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 2 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 2 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 2 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 2 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 2 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 2 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 2 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 2 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 2 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 2 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 2 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 2 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 2 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 2 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 2 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 2 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 2 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 2 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 2 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 2 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 2 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 2 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 2 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 2 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 2 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 2 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 2 | 11.0000 | 21.1877 | 1.0665 | 1.7535e+03 | 21.4280 |
|---|
| 68 | 2 | 12.0000 | 21.1886 | 1.0665 | 1.7573e+03 | 21.4289 |
|---|
| 69 | 2 | 13.0000 | 21.1892 | 1.0665 | 1.7611e+03 | 21.4295 |
|---|
| 70 | 2 | 14.0000 | 21.1902 | 1.0665 | 1.7648e+03 | 21.4305 |
|---|
| 71 | 2 | 15.0000 | 21.1914 | 1.0665 | 1.7686e+03 | 21.4317 |
|---|
| 72 | 2 | 16.0000 | 21.1925 | 1.0665 | 1.7723e+03 | 21.4329 |
|---|
| 73 | 2 | 17.0000 | 21.1937 | 1.0665 | 1.7761e+03 | 21.4340 |
|---|
| 74 | 2 | 18.0000 | 21.1948 | 1.0665 | 1.7798e+03 | 21.4352 |
|---|
| 75 | 2 | 19.0000 | 21.1960 | 1.0665 | 1.7836e+03 | 21.4363 |
|---|
| 76 | 2 | 20.0000 | 21.1971 | 1.0665 | 1.7873e+03 | 21.4375 |
|---|
| 77 | 2 | 21.0000 | 21.1983 | 1.0665 | 1.7911e+03 | 21.4387 |
|---|
| 78 | 2 | 22.0000 | 21.1994 | 1.0665 | 1.7948e+03 | 21.4398 |
|---|
| 79 | 2 | 23.0000 | 21.2006 | 1.0665 | 1.7986e+03 | 21.4410 |
|---|
| 80 | 2 | 24.0000 | 21.2017 | 1.0665 | 1.8023e+03 | 21.4421 |
|---|
| 81 | 2 | 25.0000 | 21.2029 | 1.0665 | 1.8061e+03 | 21.4433 |
|---|
| 82 | 2 | 26.0000 | 21.2040 | 1.0665 | 1.8098e+03 | 21.4445 |
|---|
| 83 | 2 | 27.0000 | 21.2051 | 1.0665 | 1.8136e+03 | 21.4456 |
|---|
| 84 | 2 | 28.0000 | 21.2063 | 1.0665 | 1.8173e+03 | 21.4468 |
|---|
| 85 | 2 | 29.0000 | 21.2074 | 1.0665 | 1.8211e+03 | 21.4479 |
|---|
| 86 | 2 | 30.0000 | 21.2086 | 1.0665 | 1.8248e+03 | 21.4491 |
|---|
| 87 | 2 | 31.0000 | 21.2097 | 1.0665 | 1.8286e+03 | 21.4503 |
|---|
| 88 | 2 | 32.0000 | 21.2109 | 1.0665 | 1.8323e+03 | 21.4514 |
|---|
| 89 | 2 | 33.0000 | 21.2120 | 1.0665 | 1.8361e+03 | 21.4526 |
|---|
| 90 | 2 | 34.0000 | 21.2132 | 1.0665 | 1.8398e+03 | 21.4537 |
|---|
| 91 | 2 | 35.0000 | 21.2143 | 1.0665 | 1.8436e+03 | 21.4549 |
|---|
| 92 | 2 | 36.0000 | 21.2155 | 1.0665 | 1.8473e+03 | 21.4561 |
|---|
| 93 | 2 | 37.0000 | 21.2166 | 1.0665 | 1.8511e+03 | 21.4572 |
|---|
| 94 | 2 | 38.0000 | 21.2178 | 1.0665 | 1.8548e+03 | 21.4584 |
|---|
| 95 | 2 | 39.0000 | 21.2189 | 1.0665 | 1.8585e+03 | 21.4595 |
|---|
| 96 | 2 | 40.0000 | 21.2200 | 1.0665 | 1.8623e+03 | 21.4607 |
|---|
| 97 | 2 | 41.0000 | 21.2212 | 1.0665 | 1.8660e+03 | 21.4618 |
|---|
| 98 | 2 | 42.0000 | 21.2223 | 1.0665 | 1.8698e+03 | 21.4630 |
|---|
| 99 | 2 | 43.0000 | 21.2235 | 1.0665 | 1.8735e+03 | 21.4642 |
|---|
| 100 | 2 | 44.0000 | 21.2246 | 1.0665 | 1.8773e+03 | 21.4653 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | 276×6 table |
|---|
| 9 | 271×6 table |
|---|
| 10 | 281×6 table |
|---|
| 11 | 216×6 table |
|---|
| 12 | 226×6 table |
|---|
| 13 | [ ] |
|---|
| 14 | [ ] |
|---|
| 15 | [ ] |
|---|
| 16 | [ ] |
|---|
| 17 | [ ] |
|---|
| 18 | [ ] |
|---|
| 19 | [ ] |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 326×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 20 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 20 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 20 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 20 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 20 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 20 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 20 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 20 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 20 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 20 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 20 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 20 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 20 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 20 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 20 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 20 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 20 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 20 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 20 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 20 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 20 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 20 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 20 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 20 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 20 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 20 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 20 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 20 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 20 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 20 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 20 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 20 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 20 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 20 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 20 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 20 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 20 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 20 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 20 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 20 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 20 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 20 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 20 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 20 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 20 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 20 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 20 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 20 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 20 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 20 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 20 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 20 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 20 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 20 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 20 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 20 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 20 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 20 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 20 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 20 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 20 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 20 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 20 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 20 | 10.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 20 | 11.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 20 | 12.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 20 | 13.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 68 | 20 | 14.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 69 | 20 | 15.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 70 | 20 | 15.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 71 | 20 | 15.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 72 | 20 | 16.0000 | 21.1722 | 1.0667 | 1.7498e+03 | 21.4166 |
|---|
| 73 | 20 | 17.0000 | 21.1656 | 1.0670 | 1.7495e+03 | 21.4162 |
|---|
| 74 | 20 | 18.0000 | 21.1586 | 1.0673 | 1.7491e+03 | 21.4160 |
|---|
| 75 | 20 | 19.0000 | 21.1515 | 1.0677 | 1.7487e+03 | 21.4159 |
|---|
| 76 | 20 | 20.0000 | 21.1443 | 1.0681 | 1.7482e+03 | 21.4158 |
|---|
| 77 | 20 | 21.0000 | 21.1372 | 1.0684 | 1.7478e+03 | 21.4157 |
|---|
| 78 | 20 | 22.0000 | 21.1300 | 1.0688 | 1.7474e+03 | 21.4155 |
|---|
| 79 | 20 | 23.0000 | 21.1228 | 1.0691 | 1.7470e+03 | 21.4154 |
|---|
| 80 | 20 | 24.0000 | 21.1157 | 1.0695 | 1.7466e+03 | 21.4153 |
|---|
| 81 | 20 | 25.0000 | 21.1086 | 1.0698 | 1.7462e+03 | 21.4152 |
|---|
| 82 | 20 | 26.0000 | 21.1014 | 1.0702 | 1.7458e+03 | 21.4150 |
|---|
| 83 | 20 | 27.0000 | 21.0943 | 1.0705 | 1.7454e+03 | 21.4149 |
|---|
| 84 | 20 | 28.0000 | 21.0872 | 1.0709 | 1.7450e+03 | 21.4148 |
|---|
| 85 | 20 | 29.0000 | 21.0800 | 1.0713 | 1.7446e+03 | 21.4146 |
|---|
| 86 | 20 | 30.0000 | 21.0729 | 1.0716 | 1.7442e+03 | 21.4145 |
|---|
| 87 | 20 | 31.0000 | 21.0658 | 1.0720 | 1.7438e+03 | 21.4144 |
|---|
| 88 | 20 | 32.0000 | 21.0587 | 1.0723 | 1.7434e+03 | 21.4143 |
|---|
| 89 | 20 | 33.0000 | 21.0516 | 1.0727 | 1.7430e+03 | 21.4141 |
|---|
| 90 | 20 | 34.0000 | 21.0445 | 1.0730 | 1.7426e+03 | 21.4140 |
|---|
| 91 | 20 | 35.0000 | 21.0374 | 1.0734 | 1.7422e+03 | 21.4139 |
|---|
| 92 | 20 | 36.0000 | 21.0303 | 1.0737 | 1.7417e+03 | 21.4138 |
|---|
| 93 | 20 | 37.0000 | 21.0233 | 1.0741 | 1.7413e+03 | 21.4136 |
|---|
| 94 | 20 | 38.0000 | 21.0162 | 1.0745 | 1.7409e+03 | 21.4135 |
|---|
| 95 | 20 | 39.0000 | 21.0091 | 1.0748 | 1.7405e+03 | 21.4134 |
|---|
| 96 | 20 | 40.0000 | 21.0020 | 1.0752 | 1.7401e+03 | 21.4133 |
|---|
| 97 | 20 | 41.0000 | 20.9950 | 1.0755 | 1.7397e+03 | 21.4131 |
|---|
| 98 | 20 | 42.0000 | 20.9879 | 1.0759 | 1.7393e+03 | 21.4130 |
|---|
| 99 | 20 | 43.0000 | 20.9809 | 1.0762 | 1.7389e+03 | 21.4129 |
|---|
| 100 | 20 | 44.0000 | 20.9738 | 1.0766 | 1.7385e+03 | 21.4128 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | 276×6 table |
|---|
| 9 | 271×6 table |
|---|
| 10 | 281×6 table |
|---|
| 11 | 216×6 table |
|---|
| 12 | 226×6 table |
|---|
| 13 | 326×6 table |
|---|
| 14 | [ ] |
|---|
| 15 | [ ] |
|---|
| 16 | [ ] |
|---|
| 17 | [ ] |
|---|
| 18 | [ ] |
|---|
| 19 | [ ] |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 356×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 21 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 21 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 21 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 21 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 21 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 21 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 21 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 21 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 21 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 21 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 21 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 21 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 21 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 21 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 21 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 21 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 21 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 21 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 21 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 21 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 21 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 21 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 21 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 21 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 21 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 21 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 21 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 21 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 21 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 21 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 21 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 21 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 21 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 21 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 21 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 21 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 21 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 21 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 21 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 21 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 21 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 21 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 21 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 21 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 21 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 21 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 21 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 21 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 21 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 21 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 21 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 21 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 21 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 21 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 21 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 21 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 21 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 21 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 21 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 21 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 21 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 21 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 21 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 21 | 10.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 21 | 11.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 21 | 12.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 21 | 13.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 68 | 21 | 14.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 69 | 21 | 15.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 70 | 21 | 16.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 71 | 21 | 17.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 72 | 21 | 18.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 73 | 21 | 19.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 74 | 21 | 20.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 75 | 21 | 20.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 76 | 21 | 20.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 77 | 21 | 21.0000 | 21.1732 | 1.0666 | 1.7499e+03 | 21.4167 |
|---|
| 78 | 21 | 22.0000 | 21.1679 | 1.0669 | 1.7496e+03 | 21.4164 |
|---|
| 79 | 21 | 23.0000 | 21.1623 | 1.0672 | 1.7493e+03 | 21.4163 |
|---|
| 80 | 21 | 24.0000 | 21.1566 | 1.0675 | 1.7489e+03 | 21.4162 |
|---|
| 81 | 21 | 25.0000 | 21.1509 | 1.0677 | 1.7486e+03 | 21.4161 |
|---|
| 82 | 21 | 26.0000 | 21.1451 | 1.0680 | 1.7483e+03 | 21.4160 |
|---|
| 83 | 21 | 27.0000 | 21.1394 | 1.0683 | 1.7480e+03 | 21.4159 |
|---|
| 84 | 21 | 28.0000 | 21.1337 | 1.0686 | 1.7476e+03 | 21.4158 |
|---|
| 85 | 21 | 29.0000 | 21.1280 | 1.0689 | 1.7473e+03 | 21.4157 |
|---|
| 86 | 21 | 30.0000 | 21.1222 | 1.0692 | 1.7470e+03 | 21.4156 |
|---|
| 87 | 21 | 31.0000 | 21.1165 | 1.0694 | 1.7467e+03 | 21.4155 |
|---|
| 88 | 21 | 32.0000 | 21.1108 | 1.0697 | 1.7463e+03 | 21.4154 |
|---|
| 89 | 21 | 33.0000 | 21.1051 | 1.0700 | 1.7460e+03 | 21.4153 |
|---|
| 90 | 21 | 34.0000 | 21.0994 | 1.0703 | 1.7457e+03 | 21.4152 |
|---|
| 91 | 21 | 35.0000 | 21.0937 | 1.0706 | 1.7453e+03 | 21.4151 |
|---|
| 92 | 21 | 36.0000 | 21.0880 | 1.0709 | 1.7450e+03 | 21.4150 |
|---|
| 93 | 21 | 37.0000 | 21.0823 | 1.0712 | 1.7447e+03 | 21.4149 |
|---|
| 94 | 21 | 38.0000 | 21.0766 | 1.0714 | 1.7444e+03 | 21.4148 |
|---|
| 95 | 21 | 39.0000 | 21.0709 | 1.0717 | 1.7440e+03 | 21.4147 |
|---|
| 96 | 21 | 40.0000 | 21.0652 | 1.0720 | 1.7437e+03 | 21.4146 |
|---|
| 97 | 21 | 41.0000 | 21.0595 | 1.0723 | 1.7434e+03 | 21.4145 |
|---|
| 98 | 21 | 42.0000 | 21.0538 | 1.0726 | 1.7431e+03 | 21.4144 |
|---|
| 99 | 21 | 43.0000 | 21.0482 | 1.0729 | 1.7428e+03 | 21.4143 |
|---|
| 100 | 21 | 44.0000 | 21.0425 | 1.0731 | 1.7424e+03 | 21.4142 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | 276×6 table |
|---|
| 9 | 271×6 table |
|---|
| 10 | 281×6 table |
|---|
| 11 | 216×6 table |
|---|
| 12 | 226×6 table |
|---|
| 13 | 326×6 table |
|---|
| 14 | 356×6 table |
|---|
| 15 | [ ] |
|---|
| 16 | [ ] |
|---|
| 17 | [ ] |
|---|
| 18 | [ ] |
|---|
| 19 | [ ] |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 206×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 22 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 22 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 22 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 22 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 22 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 22 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 22 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 22 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 22 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 22 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 22 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 22 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 22 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 22 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 22 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 22 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 22 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 22 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 22 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 22 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 22 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 22 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 22 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 22 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 22 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 22 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 22 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 22 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 22 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 22 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 22 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 22 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 22 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 22 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 22 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 22 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 22 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 22 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 22 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 22 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 22 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 22 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 22 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 22 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 22 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 22 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 22 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 22 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 22 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 22 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 22 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 22 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 22 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 22 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 22 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 22 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 22 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 22 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 22 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 22 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 22 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 22 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 22 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 22 | 10.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 22 | 11.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 22 | 12.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 22 | 13.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 68 | 22 | 14.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 69 | 22 | 15.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 70 | 22 | 16.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 71 | 22 | 17.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 72 | 22 | 18.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 73 | 22 | 19.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 74 | 22 | 20.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 75 | 22 | 21.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 76 | 22 | 22.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 77 | 22 | 23.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 78 | 22 | 24.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 79 | 22 | 25.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 80 | 22 | 25.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 81 | 22 | 25.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 82 | 22 | 26.0000 | 21.1474 | 1.0678 | 1.7487e+03 | 21.4131 |
|---|
| 83 | 22 | 27.0000 | 21.1082 | 1.0696 | 1.7465e+03 | 21.4109 |
|---|
| 84 | 22 | 28.0000 | 21.0664 | 1.0717 | 1.7442e+03 | 21.4099 |
|---|
| 85 | 22 | 29.0000 | 21.0241 | 1.0738 | 1.7418e+03 | 21.4091 |
|---|
| 86 | 22 | 30.0000 | 20.9817 | 1.0760 | 1.7393e+03 | 21.4083 |
|---|
| 87 | 22 | 31.0000 | 20.9395 | 1.0781 | 1.7369e+03 | 21.4076 |
|---|
| 88 | 22 | 32.0000 | 20.8975 | 1.0802 | 1.7345e+03 | 21.4069 |
|---|
| 89 | 22 | 33.0000 | 20.8556 | 1.0824 | 1.7321e+03 | 21.4061 |
|---|
| 90 | 22 | 34.0000 | 20.8138 | 1.0845 | 1.7297e+03 | 21.4054 |
|---|
| 91 | 22 | 35.0000 | 20.7723 | 1.0866 | 1.7273e+03 | 21.4047 |
|---|
| 92 | 22 | 36.0000 | 20.7309 | 1.0888 | 1.7249e+03 | 21.4039 |
|---|
| 93 | 22 | 37.0000 | 20.6896 | 1.0909 | 1.7225e+03 | 21.4032 |
|---|
| 94 | 22 | 38.0000 | 20.6486 | 1.0930 | 1.7201e+03 | 21.4025 |
|---|
| 95 | 22 | 39.0000 | 20.6076 | 1.0952 | 1.7177e+03 | 21.4018 |
|---|
| 96 | 22 | 40.0000 | 20.5669 | 1.0973 | 1.7154e+03 | 21.4011 |
|---|
| 97 | 22 | 41.0000 | 20.5263 | 1.0994 | 1.7130e+03 | 21.4003 |
|---|
| 98 | 22 | 42.0000 | 20.4859 | 1.1016 | 1.7106e+03 | 21.3996 |
|---|
| 99 | 22 | 43.0000 | 20.4456 | 1.1037 | 1.7083e+03 | 21.3989 |
|---|
| 100 | 22 | 44.0000 | 20.4055 | 1.1058 | 1.7059e+03 | 21.3982 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | 276×6 table |
|---|
| 9 | 271×6 table |
|---|
| 10 | 281×6 table |
|---|
| 11 | 216×6 table |
|---|
| 12 | 226×6 table |
|---|
| 13 | 326×6 table |
|---|
| 14 | 356×6 table |
|---|
| 15 | 206×6 table |
|---|
| 16 | [ ] |
|---|
| 17 | [ ] |
|---|
| 18 | [ ] |
|---|
| 19 | [ ] |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 141×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 23 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 23 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 23 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 23 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 23 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 23 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 23 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 23 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 23 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 23 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 23 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 23 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 23 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 23 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 23 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 23 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 23 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 23 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 23 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 23 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 23 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 23 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 23 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 23 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 23 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 23 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 23 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 23 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 23 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 23 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 23 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 23 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 23 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 23 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 23 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 23 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 23 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 23 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 23 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 23 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 23 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 23 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 23 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 23 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 23 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 23 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 23 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 23 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 23 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 23 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 23 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 23 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 23 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 23 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 23 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 23 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 23 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 23 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 23 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 23 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 23 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 23 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 23 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 23 | 10.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 23 | 11.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 23 | 12.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 23 | 13.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 68 | 23 | 14.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 69 | 23 | 15.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 70 | 23 | 15.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 71 | 23 | 15.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 72 | 23 | 16.0000 | 21.1326 | 1.0684 | 1.7480e+03 | 21.4110 |
|---|
| 73 | 23 | 17.0000 | 21.0738 | 1.0712 | 1.7448e+03 | 21.4077 |
|---|
| 74 | 23 | 18.0000 | 21.0115 | 1.0743 | 1.7413e+03 | 21.4062 |
|---|
| 75 | 23 | 19.0000 | 20.9484 | 1.0775 | 1.7377e+03 | 21.4050 |
|---|
| 76 | 23 | 20.0000 | 20.8854 | 1.0807 | 1.7340e+03 | 21.4039 |
|---|
| 77 | 23 | 21.0000 | 20.8227 | 1.0839 | 1.7304e+03 | 21.4028 |
|---|
| 78 | 23 | 22.0000 | 20.7603 | 1.0871 | 1.7268e+03 | 21.4018 |
|---|
| 79 | 23 | 23.0000 | 20.6984 | 1.0903 | 1.7232e+03 | 21.4007 |
|---|
| 80 | 23 | 24.0000 | 20.6368 | 1.0935 | 1.7197e+03 | 21.3996 |
|---|
| 81 | 23 | 25.0000 | 20.5755 | 1.0967 | 1.7161e+03 | 21.3985 |
|---|
| 82 | 23 | 26.0000 | 20.5147 | 1.0999 | 1.7125e+03 | 21.3975 |
|---|
| 83 | 23 | 27.0000 | 20.4542 | 1.1031 | 1.7090e+03 | 21.3964 |
|---|
| 84 | 23 | 28.0000 | 20.3940 | 1.1063 | 1.7055e+03 | 21.3953 |
|---|
| 85 | 23 | 29.0000 | 20.3342 | 1.1095 | 1.7019e+03 | 21.3943 |
|---|
| 86 | 23 | 30.0000 | 20.2747 | 1.1127 | 1.6984e+03 | 21.3932 |
|---|
| 87 | 23 | 31.0000 | 20.2156 | 1.1159 | 1.6950e+03 | 21.3922 |
|---|
| 88 | 23 | 32.0000 | 20.1568 | 1.1191 | 1.6915e+03 | 21.3911 |
|---|
| 89 | 23 | 33.0000 | 20.0984 | 1.1223 | 1.6880e+03 | 21.3901 |
|---|
| 90 | 23 | 34.0000 | 20.0402 | 1.1255 | 1.6845e+03 | 21.3890 |
|---|
| 91 | 23 | 35.0000 | 19.9825 | 1.1287 | 1.6811e+03 | 21.3880 |
|---|
| 92 | 23 | 36.0000 | 19.9250 | 1.1319 | 1.6777e+03 | 21.3870 |
|---|
| 93 | 23 | 37.0000 | 19.8679 | 1.1351 | 1.6742e+03 | 21.3859 |
|---|
| 94 | 23 | 38.0000 | 19.8111 | 1.1383 | 1.6708e+03 | 21.3849 |
|---|
| 95 | 23 | 39.0000 | 19.7546 | 1.1415 | 1.6674e+03 | 21.3839 |
|---|
| 96 | 23 | 40.0000 | 19.6985 | 1.1447 | 1.6641e+03 | 21.3829 |
|---|
| 97 | 23 | 41.0000 | 19.6426 | 1.1479 | 1.6607e+03 | 21.3818 |
|---|
| 98 | 23 | 42.0000 | 19.5871 | 1.1511 | 1.6573e+03 | 21.3808 |
|---|
| 99 | 23 | 43.0000 | 19.5319 | 1.1543 | 1.6540e+03 | 21.3798 |
|---|
| 100 | 23 | 44.0000 | 19.4770 | 1.1575 | 1.6506e+03 | 21.3788 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | 276×6 table |
|---|
| 9 | 271×6 table |
|---|
| 10 | 281×6 table |
|---|
| 11 | 216×6 table |
|---|
| 12 | 226×6 table |
|---|
| 13 | 326×6 table |
|---|
| 14 | 356×6 table |
|---|
| 15 | 206×6 table |
|---|
| 16 | 141×6 table |
|---|
| 17 | [ ] |
|---|
| 18 | [ ] |
|---|
| 19 | [ ] |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 238×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 25 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 25 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 25 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 25 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 25 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 25 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 25 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 25 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 25 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 25 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 25 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 25 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 25 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 25 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 25 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 25 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 25 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 25 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 25 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 25 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 25 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 25 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 25 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 25 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 25 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 25 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 25 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 25 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 25 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 25 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 25 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 25 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 25 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 25 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 25 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 25 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 25 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 25 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 25 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 25 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 25 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 25 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 25 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 25 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 25 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 25 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 25 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 25 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 25 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 25 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 25 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 25 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 25 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 25 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 25 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 25 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 25 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 25 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 25 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 25 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 25 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 25 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 25 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 25 | 10.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 25 | 11.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 25 | 12.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 25 | 13.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 68 | 25 | 14.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 69 | 25 | 15.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 70 | 25 | 16.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 71 | 25 | 17.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 72 | 25 | 18.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 73 | 25 | 19.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 74 | 25 | 20.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 75 | 25 | 21.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 76 | 25 | 22.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 77 | 25 | 23.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 78 | 25 | 24.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 79 | 25 | 25.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 80 | 25 | 26.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 81 | 25 | 27.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 82 | 25 | 27.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 83 | 25 | 27.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 84 | 25 | 28.0000 | 21.1588 | 1.0673 | 1.7492e+03 | 21.4147 |
|---|
| 85 | 25 | 29.0000 | 21.1346 | 1.0684 | 1.7479e+03 | 21.4134 |
|---|
| 86 | 25 | 30.0000 | 21.1087 | 1.0697 | 1.7464e+03 | 21.4127 |
|---|
| 87 | 25 | 31.0000 | 21.0825 | 1.0710 | 1.7449e+03 | 21.4122 |
|---|
| 88 | 25 | 32.0000 | 21.0562 | 1.0723 | 1.7434e+03 | 21.4117 |
|---|
| 89 | 25 | 33.0000 | 21.0300 | 1.0736 | 1.7419e+03 | 21.4113 |
|---|
| 90 | 25 | 34.0000 | 21.0038 | 1.0750 | 1.7404e+03 | 21.4108 |
|---|
| 91 | 25 | 35.0000 | 20.9777 | 1.0763 | 1.7389e+03 | 21.4104 |
|---|
| 92 | 25 | 36.0000 | 20.9516 | 1.0776 | 1.7374e+03 | 21.4099 |
|---|
| 93 | 25 | 37.0000 | 20.9256 | 1.0789 | 1.7360e+03 | 21.4095 |
|---|
| 94 | 25 | 38.0000 | 20.8997 | 1.0802 | 1.7345e+03 | 21.4090 |
|---|
| 95 | 25 | 39.0000 | 20.8738 | 1.0815 | 1.7330e+03 | 21.4086 |
|---|
| 96 | 25 | 40.0000 | 20.8480 | 1.0828 | 1.7315e+03 | 21.4081 |
|---|
| 97 | 25 | 41.0000 | 20.8223 | 1.0842 | 1.7300e+03 | 21.4076 |
|---|
| 98 | 25 | 42.0000 | 20.7966 | 1.0855 | 1.7285e+03 | 21.4072 |
|---|
| 99 | 25 | 43.0000 | 20.7710 | 1.0868 | 1.7270e+03 | 21.4067 |
|---|
| 100 | 25 | 44.0000 | 20.7455 | 1.0881 | 1.7256e+03 | 21.4063 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | 276×6 table |
|---|
| 9 | 271×6 table |
|---|
| 10 | 281×6 table |
|---|
| 11 | 216×6 table |
|---|
| 12 | 226×6 table |
|---|
| 13 | 326×6 table |
|---|
| 14 | 356×6 table |
|---|
| 15 | 206×6 table |
|---|
| 16 | 141×6 table |
|---|
| 17 | 238×6 table |
|---|
| 18 | [ ] |
|---|
| 19 | [ ] |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 111×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 26 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 26 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 26 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 26 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 26 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 26 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 26 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 26 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 26 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 26 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 26 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 26 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 26 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 26 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 26 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 26 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 26 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 26 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 26 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 26 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 26 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 26 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 26 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 26 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 26 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 26 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 26 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 26 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 26 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 26 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 26 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 26 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 26 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 26 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 26 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 26 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 26 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 26 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 26 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 26 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 26 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 26 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 26 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 26 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 26 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 26 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 26 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 26 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 26 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 26 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 26 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 26 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 26 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 26 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 26 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 26 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 26 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 26 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 26 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 26 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 26 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 26 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 26 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 26 | 10.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 26 | 11.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 26 | 12.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 26 | 13.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 68 | 26 | 14.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 69 | 26 | 15.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 70 | 26 | 16.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 71 | 26 | 17.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 72 | 26 | 18.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 73 | 26 | 19.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 74 | 26 | 20.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 75 | 26 | 21.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 76 | 26 | 22.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 77 | 26 | 23.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 78 | 26 | 24.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 79 | 26 | 25.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 80 | 26 | 25.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 81 | 26 | 25.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 82 | 26 | 25.7400 | 21.1104 | 1.0693 | 1.7471e+03 | 21.4056 |
|---|
| 83 | 26 | 26.4800 | 21.0192 | 1.0736 | 1.7423e+03 | 21.3988 |
|---|
| 84 | 26 | 27.2199 | 20.9196 | 1.0785 | 1.7368e+03 | 21.3950 |
|---|
| 85 | 26 | 27.9599 | 20.8182 | 1.0836 | 1.7310e+03 | 21.3929 |
|---|
| 86 | 26 | 28.9599 | 20.6809 | 1.0907 | 1.7230e+03 | 21.3905 |
|---|
| 87 | 26 | 29.9599 | 20.5449 | 1.0978 | 1.7151e+03 | 21.3881 |
|---|
| 88 | 26 | 30.9599 | 20.4106 | 1.1049 | 1.7072e+03 | 21.3859 |
|---|
| 89 | 26 | 31.9599 | 20.2779 | 1.1120 | 1.6994e+03 | 21.3836 |
|---|
| 90 | 26 | 32.9599 | 20.1470 | 1.1191 | 1.6917e+03 | 21.3813 |
|---|
| 91 | 26 | 33.9599 | 20.0176 | 1.1262 | 1.6840e+03 | 21.3791 |
|---|
| 92 | 26 | 34.9599 | 19.8900 | 1.1333 | 1.6763e+03 | 21.3768 |
|---|
| 93 | 26 | 35.9599 | 19.7639 | 1.1405 | 1.6688e+03 | 21.3746 |
|---|
| 94 | 26 | 36.9599 | 19.6395 | 1.1476 | 1.6612e+03 | 21.3724 |
|---|
| 95 | 26 | 37.9599 | 19.5166 | 1.1547 | 1.6538e+03 | 21.3703 |
|---|
| 96 | 26 | 38.9599 | 19.3952 | 1.1618 | 1.6464e+03 | 21.3681 |
|---|
| 97 | 26 | 39.9599 | 19.2753 | 1.1689 | 1.6390e+03 | 21.3660 |
|---|
| 98 | 26 | 40.9599 | 19.1568 | 1.1760 | 1.6317e+03 | 21.3638 |
|---|
| 99 | 26 | 41.9599 | 19.0398 | 1.1831 | 1.6245e+03 | 21.3617 |
|---|
| 100 | 26 | 42.9599 | 18.9242 | 1.1902 | 1.6173e+03 | 21.3596 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | 276×6 table |
|---|
| 9 | 271×6 table |
|---|
| 10 | 281×6 table |
|---|
| 11 | 216×6 table |
|---|
| 12 | 226×6 table |
|---|
| 13 | 326×6 table |
|---|
| 14 | 356×6 table |
|---|
| 15 | 206×6 table |
|---|
| 16 | 141×6 table |
|---|
| 17 | 238×6 table |
|---|
| 18 | 111×6 table |
|---|
| 19 | [ ] |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 193×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 27 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 27 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 27 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 27 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 27 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 27 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 27 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 27 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 27 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 27 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 27 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 27 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 27 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 27 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 27 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 27 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 27 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 27 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 27 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 27 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 27 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 27 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 27 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 27 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 27 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 27 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 27 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 27 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 27 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 27 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 27 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 27 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 27 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 27 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 27 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 27 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 27 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 27 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 27 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 27 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 27 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 27 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 27 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 27 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 27 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 27 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 27 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 27 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 27 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 27 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 27 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 27 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 27 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 27 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 27 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 27 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 27 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 27 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 27 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 27 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 27 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 27 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 27 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 27 | 10.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 27 | 11.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 27 | 12.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 27 | 13.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 68 | 27 | 14.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 69 | 27 | 15.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 70 | 27 | 16.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 71 | 27 | 17.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 72 | 27 | 18.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 73 | 27 | 19.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 74 | 27 | 20.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 75 | 27 | 21.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 76 | 27 | 22.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 77 | 27 | 23.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 78 | 27 | 24.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 79 | 27 | 25.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 80 | 27 | 26.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 81 | 27 | 27.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 82 | 27 | 28.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 83 | 27 | 29.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 84 | 27 | 30.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 85 | 27 | 30.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 86 | 27 | 30.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 87 | 27 | 31.0000 | 21.1509 | 1.0676 | 1.7488e+03 | 21.4136 |
|---|
| 88 | 27 | 32.0000 | 21.1162 | 1.0693 | 1.7470e+03 | 21.4117 |
|---|
| 89 | 27 | 33.0000 | 21.0793 | 1.0711 | 1.7449e+03 | 21.4107 |
|---|
| 90 | 27 | 34.0000 | 21.0418 | 1.0730 | 1.7427e+03 | 21.4100 |
|---|
| 91 | 27 | 35.0000 | 21.0043 | 1.0749 | 1.7406e+03 | 21.4094 |
|---|
| 92 | 27 | 36.0000 | 20.9670 | 1.0767 | 1.7384e+03 | 21.4087 |
|---|
| 93 | 27 | 37.0000 | 20.9297 | 1.0786 | 1.7363e+03 | 21.4081 |
|---|
| 94 | 27 | 38.0000 | 20.8926 | 1.0805 | 1.7342e+03 | 21.4074 |
|---|
| 95 | 27 | 39.0000 | 20.8556 | 1.0824 | 1.7320e+03 | 21.4068 |
|---|
| 96 | 27 | 40.0000 | 20.8187 | 1.0843 | 1.7299e+03 | 21.4061 |
|---|
| 97 | 27 | 41.0000 | 20.7820 | 1.0862 | 1.7278e+03 | 21.4055 |
|---|
| 98 | 27 | 42.0000 | 20.7453 | 1.0880 | 1.7257e+03 | 21.4048 |
|---|
| 99 | 27 | 43.0000 | 20.7089 | 1.0899 | 1.7236e+03 | 21.4042 |
|---|
| 100 | 27 | 44.0000 | 20.6725 | 1.0918 | 1.7215e+03 | 21.4036 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | 276×6 table |
|---|
| 9 | 271×6 table |
|---|
| 10 | 281×6 table |
|---|
| 11 | 216×6 table |
|---|
| 12 | 226×6 table |
|---|
| 13 | 326×6 table |
|---|
| 14 | 356×6 table |
|---|
| 15 | 206×6 table |
|---|
| 16 | 141×6 table |
|---|
| 17 | 238×6 table |
|---|
| 18 | 111×6 table |
|---|
| 19 | 193×6 table |
|---|
| 20 | [ ] |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 581×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 28 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 28 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 28 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 28 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 28 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 28 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 28 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 28 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 28 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 28 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 28 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 28 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 28 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 28 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 28 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 28 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 28 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 28 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 28 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 28 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 28 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 28 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 28 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 28 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 28 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 28 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 28 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 28 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 28 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 28 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 28 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 28 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 28 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 28 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 28 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 28 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 28 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 28 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 28 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 28 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 28 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 28 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 28 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 28 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 28 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 28 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 28 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 28 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 28 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 28 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 28 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 28 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 28 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 28 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 28 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 28 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 28 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 28 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 28 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 28 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 28 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 28 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 28 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 28 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 28 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 28 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 28 | 11.0000 | 21.1722 | 1.0667 | 1.7498e+03 | 21.4166 |
|---|
| 68 | 28 | 12.0000 | 21.1656 | 1.0670 | 1.7495e+03 | 21.4162 |
|---|
| 69 | 28 | 13.0000 | 21.1586 | 1.0673 | 1.7491e+03 | 21.4160 |
|---|
| 70 | 28 | 14.0000 | 21.1515 | 1.0677 | 1.7487e+03 | 21.4159 |
|---|
| 71 | 28 | 15.0000 | 21.1443 | 1.0681 | 1.7482e+03 | 21.4158 |
|---|
| 72 | 28 | 16.0000 | 21.1372 | 1.0684 | 1.7478e+03 | 21.4157 |
|---|
| 73 | 28 | 17.0000 | 21.1300 | 1.0688 | 1.7474e+03 | 21.4155 |
|---|
| 74 | 28 | 18.0000 | 21.1228 | 1.0691 | 1.7470e+03 | 21.4154 |
|---|
| 75 | 28 | 19.0000 | 21.1157 | 1.0695 | 1.7466e+03 | 21.4153 |
|---|
| 76 | 28 | 20.0000 | 21.1086 | 1.0698 | 1.7462e+03 | 21.4152 |
|---|
| 77 | 28 | 21.0000 | 21.1014 | 1.0702 | 1.7458e+03 | 21.4150 |
|---|
| 78 | 28 | 22.0000 | 21.0943 | 1.0705 | 1.7454e+03 | 21.4149 |
|---|
| 79 | 28 | 23.0000 | 21.0872 | 1.0709 | 1.7450e+03 | 21.4148 |
|---|
| 80 | 28 | 24.0000 | 21.0800 | 1.0713 | 1.7446e+03 | 21.4146 |
|---|
| 81 | 28 | 25.0000 | 21.0729 | 1.0716 | 1.7442e+03 | 21.4145 |
|---|
| 82 | 28 | 26.0000 | 21.0658 | 1.0720 | 1.7438e+03 | 21.4144 |
|---|
| 83 | 28 | 27.0000 | 21.0587 | 1.0723 | 1.7434e+03 | 21.4143 |
|---|
| 84 | 28 | 28.0000 | 21.0516 | 1.0727 | 1.7430e+03 | 21.4141 |
|---|
| 85 | 28 | 29.0000 | 21.0445 | 1.0730 | 1.7426e+03 | 21.4140 |
|---|
| 86 | 28 | 30.0000 | 21.0374 | 1.0734 | 1.7422e+03 | 21.4139 |
|---|
| 87 | 28 | 31.0000 | 21.0303 | 1.0737 | 1.7417e+03 | 21.4138 |
|---|
| 88 | 28 | 32.0000 | 21.0233 | 1.0741 | 1.7413e+03 | 21.4136 |
|---|
| 89 | 28 | 33.0000 | 21.0162 | 1.0745 | 1.7409e+03 | 21.4135 |
|---|
| 90 | 28 | 34.0000 | 21.0091 | 1.0748 | 1.7405e+03 | 21.4134 |
|---|
| 91 | 28 | 35.0000 | 21.0020 | 1.0752 | 1.7401e+03 | 21.4133 |
|---|
| 92 | 28 | 36.0000 | 20.9950 | 1.0755 | 1.7397e+03 | 21.4131 |
|---|
| 93 | 28 | 37.0000 | 20.9879 | 1.0759 | 1.7393e+03 | 21.4130 |
|---|
| 94 | 28 | 38.0000 | 20.9809 | 1.0762 | 1.7389e+03 | 21.4129 |
|---|
| 95 | 28 | 39.0000 | 20.9738 | 1.0766 | 1.7385e+03 | 21.4128 |
|---|
| 96 | 28 | 40.0000 | 20.9668 | 1.0769 | 1.7381e+03 | 21.4127 |
|---|
| 97 | 28 | 41.0000 | 20.9597 | 1.0773 | 1.7377e+03 | 21.4125 |
|---|
| 98 | 28 | 42.0000 | 20.9527 | 1.0777 | 1.7373e+03 | 21.4124 |
|---|
| 99 | 28 | 43.0000 | 20.9457 | 1.0780 | 1.7369e+03 | 21.4123 |
|---|
| 100 | 28 | 44.0000 | 20.9386 | 1.0784 | 1.7365e+03 | 21.4122 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | 276×6 table |
|---|
| 9 | 271×6 table |
|---|
| 10 | 281×6 table |
|---|
| 11 | 216×6 table |
|---|
| 12 | 226×6 table |
|---|
| 13 | 326×6 table |
|---|
| 14 | 356×6 table |
|---|
| 15 | 206×6 table |
|---|
| 16 | 141×6 table |
|---|
| 17 | 238×6 table |
|---|
| 18 | 111×6 table |
|---|
| 19 | 193×6 table |
|---|
| 20 | 581×6 table |
|---|
| 21 | [ ] |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 499×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 29 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 29 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 29 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 29 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 29 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 29 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 29 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 29 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 29 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 29 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 29 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 29 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 29 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 29 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 29 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 29 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 29 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 29 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 29 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 29 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 29 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 29 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 29 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 29 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 29 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 29 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 29 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 29 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 29 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 29 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 29 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 29 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 29 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 29 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 29 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 29 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 29 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 29 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 29 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 29 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 29 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 29 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 29 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 29 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 29 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 29 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 29 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 29 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 29 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 29 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 29 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 29 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 29 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 29 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 29 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 29 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 29 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 29 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 29 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 29 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 29 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 29 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 29 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 29 | 10.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 29 | 11.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 29 | 12.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 29 | 13.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 68 | 29 | 14.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 69 | 29 | 15.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 70 | 29 | 16.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 71 | 29 | 17.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 72 | 29 | 18.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 73 | 29 | 19.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 74 | 29 | 20.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 75 | 29 | 20.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 76 | 29 | 20.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 77 | 29 | 21.0000 | 21.1707 | 1.0668 | 1.7497e+03 | 21.4164 |
|---|
| 78 | 29 | 22.0000 | 21.1622 | 1.0672 | 1.7493e+03 | 21.4159 |
|---|
| 79 | 29 | 23.0000 | 21.1531 | 1.0676 | 1.7488e+03 | 21.4157 |
|---|
| 80 | 29 | 24.0000 | 21.1438 | 1.0681 | 1.7482e+03 | 21.4155 |
|---|
| 81 | 29 | 25.0000 | 21.1345 | 1.0685 | 1.7477e+03 | 21.4153 |
|---|
| 82 | 29 | 26.0000 | 21.1252 | 1.0690 | 1.7472e+03 | 21.4152 |
|---|
| 83 | 29 | 27.0000 | 21.1159 | 1.0695 | 1.7467e+03 | 21.4150 |
|---|
| 84 | 29 | 28.0000 | 21.1066 | 1.0699 | 1.7461e+03 | 21.4148 |
|---|
| 85 | 29 | 29.0000 | 21.0973 | 1.0704 | 1.7456e+03 | 21.4147 |
|---|
| 86 | 29 | 30.0000 | 21.0881 | 1.0708 | 1.7451e+03 | 21.4145 |
|---|
| 87 | 29 | 31.0000 | 21.0788 | 1.0713 | 1.7445e+03 | 21.4144 |
|---|
| 88 | 29 | 32.0000 | 21.0696 | 1.0718 | 1.7440e+03 | 21.4142 |
|---|
| 89 | 29 | 33.0000 | 21.0603 | 1.0722 | 1.7435e+03 | 21.4140 |
|---|
| 90 | 29 | 34.0000 | 21.0511 | 1.0727 | 1.7430e+03 | 21.4139 |
|---|
| 91 | 29 | 35.0000 | 21.0419 | 1.0732 | 1.7424e+03 | 21.4137 |
|---|
| 92 | 29 | 36.0000 | 21.0327 | 1.0736 | 1.7419e+03 | 21.4135 |
|---|
| 93 | 29 | 37.0000 | 21.0234 | 1.0741 | 1.7414e+03 | 21.4134 |
|---|
| 94 | 29 | 38.0000 | 21.0142 | 1.0745 | 1.7408e+03 | 21.4132 |
|---|
| 95 | 29 | 39.0000 | 21.0051 | 1.0750 | 1.7403e+03 | 21.4131 |
|---|
| 96 | 29 | 40.0000 | 20.9959 | 1.0755 | 1.7398e+03 | 21.4129 |
|---|
| 97 | 29 | 41.0000 | 20.9867 | 1.0759 | 1.7393e+03 | 21.4127 |
|---|
| 98 | 29 | 42.0000 | 20.9775 | 1.0764 | 1.7387e+03 | 21.4126 |
|---|
| 99 | 29 | 43.0000 | 20.9684 | 1.0769 | 1.7382e+03 | 21.4124 |
|---|
| 100 | 29 | 44.0000 | 20.9592 | 1.0773 | 1.7377e+03 | 21.4122 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | 276×6 table |
|---|
| 9 | 271×6 table |
|---|
| 10 | 281×6 table |
|---|
| 11 | 216×6 table |
|---|
| 12 | 226×6 table |
|---|
| 13 | 326×6 table |
|---|
| 14 | 356×6 table |
|---|
| 15 | 206×6 table |
|---|
| 16 | 141×6 table |
|---|
| 17 | 238×6 table |
|---|
| 18 | 111×6 table |
|---|
| 19 | 193×6 table |
|---|
| 20 | 581×6 table |
|---|
| 21 | 499×6 table |
|---|
| 22 | [ ] |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 176×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 3 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 3 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 3 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 3 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 3 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 3 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 3 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 3 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 3 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 3 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 3 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 3 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 3 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 3 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 3 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 3 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 3 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 3 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 3 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 3 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 3 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 3 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 3 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 3 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 3 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 3 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 3 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 3 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 3 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 3 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 3 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 3 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 3 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 3 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 3 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 3 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 3 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 3 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 3 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 3 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 3 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 3 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 3 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 3 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 3 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 3 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 3 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 3 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 3 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 3 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 3 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 3 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 3 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 3 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 3 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 3 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 3 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 3 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 3 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 3 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 3 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 3 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 3 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 3 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 3 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 3 | 10.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 3 | 11.0000 | 21.1903 | 1.0665 | 1.7544e+03 | 21.4306 |
|---|
| 68 | 3 | 12.0000 | 21.1914 | 1.0665 | 1.7591e+03 | 21.4318 |
|---|
| 69 | 3 | 13.0000 | 21.1922 | 1.0665 | 1.7638e+03 | 21.4325 |
|---|
| 70 | 3 | 14.0000 | 21.1935 | 1.0665 | 1.7685e+03 | 21.4338 |
|---|
| 71 | 3 | 15.0000 | 21.1949 | 1.0665 | 1.7732e+03 | 21.4353 |
|---|
| 72 | 3 | 16.0000 | 21.1964 | 1.0665 | 1.7779e+03 | 21.4368 |
|---|
| 73 | 3 | 17.0000 | 21.1978 | 1.0665 | 1.7826e+03 | 21.4382 |
|---|
| 74 | 3 | 18.0000 | 21.1993 | 1.0665 | 1.7873e+03 | 21.4397 |
|---|
| 75 | 3 | 19.0000 | 21.2007 | 1.0665 | 1.7920e+03 | 21.4411 |
|---|
| 76 | 3 | 20.0000 | 21.2021 | 1.0665 | 1.7966e+03 | 21.4426 |
|---|
| 77 | 3 | 21.0000 | 21.2036 | 1.0665 | 1.8013e+03 | 21.4440 |
|---|
| 78 | 3 | 22.0000 | 21.2050 | 1.0665 | 1.8060e+03 | 21.4455 |
|---|
| 79 | 3 | 23.0000 | 21.2064 | 1.0665 | 1.8107e+03 | 21.4469 |
|---|
| 80 | 3 | 24.0000 | 21.2079 | 1.0665 | 1.8154e+03 | 21.4484 |
|---|
| 81 | 3 | 25.0000 | 21.2093 | 1.0665 | 1.8201e+03 | 21.4498 |
|---|
| 82 | 3 | 26.0000 | 21.2107 | 1.0665 | 1.8248e+03 | 21.4513 |
|---|
| 83 | 3 | 27.0000 | 21.2122 | 1.0665 | 1.8294e+03 | 21.4527 |
|---|
| 84 | 3 | 28.0000 | 21.2136 | 1.0665 | 1.8341e+03 | 21.4542 |
|---|
| 85 | 3 | 29.0000 | 21.2150 | 1.0665 | 1.8388e+03 | 21.4556 |
|---|
| 86 | 3 | 30.0000 | 21.2165 | 1.0665 | 1.8435e+03 | 21.4570 |
|---|
| 87 | 3 | 31.0000 | 21.2179 | 1.0665 | 1.8482e+03 | 21.4585 |
|---|
| 88 | 3 | 32.0000 | 21.2193 | 1.0665 | 1.8529e+03 | 21.4599 |
|---|
| 89 | 3 | 33.0000 | 21.2207 | 1.0665 | 1.8576e+03 | 21.4614 |
|---|
| 90 | 3 | 34.0000 | 21.2222 | 1.0665 | 1.8622e+03 | 21.4628 |
|---|
| 91 | 3 | 35.0000 | 21.2236 | 1.0665 | 1.8669e+03 | 21.4643 |
|---|
| 92 | 3 | 36.0000 | 21.2250 | 1.0665 | 1.8716e+03 | 21.4657 |
|---|
| 93 | 3 | 37.0000 | 21.2265 | 1.0665 | 1.8763e+03 | 21.4672 |
|---|
| 94 | 3 | 38.0000 | 21.2279 | 1.0665 | 1.8810e+03 | 21.4686 |
|---|
| 95 | 3 | 39.0000 | 21.2293 | 1.0665 | 1.8857e+03 | 21.4701 |
|---|
| 96 | 3 | 40.0000 | 21.2308 | 1.0665 | 1.8904e+03 | 21.4715 |
|---|
| 97 | 3 | 41.0000 | 21.2322 | 1.0665 | 1.8950e+03 | 21.4730 |
|---|
| 98 | 3 | 42.0000 | 21.2336 | 1.0665 | 1.8997e+03 | 21.4744 |
|---|
| 99 | 3 | 43.0000 | 21.2351 | 1.0665 | 1.9044e+03 | 21.4759 |
|---|
| 100 | 3 | 44.0000 | 21.2365 | 1.0665 | 1.9091e+03 | 21.4773 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | 276×6 table |
|---|
| 9 | 271×6 table |
|---|
| 10 | 281×6 table |
|---|
| 11 | 216×6 table |
|---|
| 12 | 226×6 table |
|---|
| 13 | 326×6 table |
|---|
| 14 | 356×6 table |
|---|
| 15 | 206×6 table |
|---|
| 16 | 141×6 table |
|---|
| 17 | 238×6 table |
|---|
| 18 | 111×6 table |
|---|
| 19 | 193×6 table |
|---|
| 20 | 581×6 table |
|---|
| 21 | 499×6 table |
|---|
| 22 | 176×6 table |
|---|
| 23 | [ ] |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 281×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 30 | 0 | 92.9872 | 1.0665 | 9.5493 | 99.1687 |
|---|
| 2 | 30 | 0.0000 | 92.9871 | 1.0665 | 9.6903 | 98.2505 |
|---|
| 3 | 30 | 0.0000 | 92.9869 | 1.0665 | 9.8299 | 97.4927 |
|---|
| 4 | 30 | 0.0000 | 92.9867 | 1.0665 | 9.9683 | 96.8706 |
|---|
| 5 | 30 | 0.0000 | 92.9864 | 1.0665 | 10.2516 | 95.8754 |
|---|
| 6 | 30 | 0.0000 | 92.9860 | 1.0665 | 10.5320 | 95.2143 |
|---|
| 7 | 30 | 0.0000 | 92.9857 | 1.0665 | 10.8105 | 94.7877 |
|---|
| 8 | 30 | 0.0000 | 92.9853 | 1.0665 | 11.0875 | 94.5158 |
|---|
| 9 | 30 | 0.0001 | 92.9846 | 1.0665 | 11.6134 | 94.2601 |
|---|
| 10 | 30 | 0.0001 | 92.9839 | 1.0665 | 12.1380 | 94.1496 |
|---|
| 11 | 30 | 0.0001 | 92.9831 | 1.0665 | 12.6621 | 94.0893 |
|---|
| 12 | 30 | 0.0001 | 92.9823 | 1.0665 | 13.1861 | 94.0560 |
|---|
| 13 | 30 | 0.0001 | 92.9815 | 1.0665 | 13.7098 | 94.0414 |
|---|
| 14 | 30 | 0.0002 | 92.9785 | 1.0665 | 15.3982 | 94.0255 |
|---|
| 15 | 30 | 0.0002 | 92.9753 | 1.0665 | 17.0863 | 94.0286 |
|---|
| 16 | 30 | 0.0003 | 92.9717 | 1.0665 | 18.7743 | 94.0274 |
|---|
| 17 | 30 | 0.0003 | 92.9679 | 1.0665 | 20.4623 | 94.0228 |
|---|
| 18 | 30 | 0.0008 | 92.9198 | 1.0665 | 33.7726 | 93.9735 |
|---|
| 19 | 30 | 0.0012 | 92.8532 | 1.0665 | 47.0704 | 93.9062 |
|---|
| 20 | 30 | 0.0016 | 92.7686 | 1.0665 | 60.3525 | 93.8206 |
|---|
| 21 | 30 | 0.0031 | 92.3630 | 1.0665 | 105.8160 | 93.4104 |
|---|
| 22 | 30 | 0.0045 | 91.7814 | 1.0665 | 150.9610 | 92.8223 |
|---|
| 23 | 30 | 0.0060 | 91.0430 | 1.0665 | 195.6836 | 92.0754 |
|---|
| 24 | 30 | 0.0074 | 90.1683 | 1.0665 | 239.8898 | 91.1908 |
|---|
| 25 | 30 | 0.0115 | 87.1055 | 1.0665 | 361.7356 | 88.0933 |
|---|
| 26 | 30 | 0.0156 | 83.4643 | 1.0665 | 477.4927 | 84.4108 |
|---|
| 27 | 30 | 0.0197 | 79.5225 | 1.0665 | 586.3292 | 80.4243 |
|---|
| 28 | 30 | 0.0239 | 75.4699 | 1.0665 | 687.8867 | 76.3258 |
|---|
| 29 | 30 | 0.0280 | 71.4345 | 1.0665 | 782.1130 | 72.2446 |
|---|
| 30 | 30 | 0.0347 | 65.0452 | 1.0665 | 921.4096 | 65.7829 |
|---|
| 31 | 30 | 0.0415 | 59.1633 | 1.0665 | 1.0425e+03 | 59.8342 |
|---|
| 32 | 30 | 0.0482 | 53.8905 | 1.0665 | 1.1469e+03 | 54.5016 |
|---|
| 33 | 30 | 0.0550 | 49.2378 | 1.0665 | 1.2367e+03 | 49.7962 |
|---|
| 34 | 30 | 0.0617 | 45.1742 | 1.0665 | 1.3135e+03 | 45.6865 |
|---|
| 35 | 30 | 0.0739 | 39.1528 | 1.0665 | 1.4251e+03 | 39.5968 |
|---|
| 36 | 30 | 0.0862 | 34.5935 | 1.0665 | 1.5084e+03 | 34.9858 |
|---|
| 37 | 30 | 0.0984 | 31.1751 | 1.0665 | 1.5704e+03 | 31.5286 |
|---|
| 38 | 30 | 0.1106 | 28.6174 | 1.0665 | 1.6167e+03 | 28.9419 |
|---|
| 39 | 30 | 0.1228 | 26.7050 | 1.0665 | 1.6511e+03 | 27.0078 |
|---|
| 40 | 30 | 0.1418 | 24.6676 | 1.0665 | 1.6876e+03 | 24.9473 |
|---|
| 41 | 30 | 0.1609 | 23.3863 | 1.0665 | 1.7106e+03 | 23.6515 |
|---|
| 42 | 30 | 0.1799 | 22.5731 | 1.0665 | 1.7253e+03 | 22.8291 |
|---|
| 43 | 30 | 0.1989 | 22.0529 | 1.0665 | 1.7346e+03 | 22.3030 |
|---|
| 44 | 30 | 0.2179 | 21.7218 | 1.0665 | 1.7404e+03 | 21.9682 |
|---|
| 45 | 30 | 0.2481 | 21.4422 | 1.0665 | 1.7453e+03 | 21.6853 |
|---|
| 46 | 30 | 0.2783 | 21.3126 | 1.0665 | 1.7477e+03 | 21.5543 |
|---|
| 47 | 30 | 0.3084 | 21.2444 | 1.0665 | 1.7490e+03 | 21.4853 |
|---|
| 48 | 30 | 0.3386 | 21.2047 | 1.0665 | 1.7497e+03 | 21.4452 |
|---|
| 49 | 30 | 0.3688 | 21.1845 | 1.0665 | 1.7500e+03 | 21.4248 |
|---|
| 50 | 30 | 0.4568 | 21.1680 | 1.0665 | 1.7502e+03 | 21.4080 |
|---|
| 51 | 30 | 0.5448 | 21.1754 | 1.0665 | 1.7500e+03 | 21.4156 |
|---|
| 52 | 30 | 0.6328 | 21.1809 | 1.0665 | 1.7499e+03 | 21.4211 |
|---|
| 53 | 30 | 0.7208 | 21.1804 | 1.0665 | 1.7500e+03 | 21.4206 |
|---|
| 54 | 30 | 1.1651 | 21.1773 | 1.0665 | 1.7500e+03 | 21.4174 |
|---|
| 55 | 30 | 1.6095 | 21.1770 | 1.0665 | 1.7500e+03 | 21.4171 |
|---|
| 56 | 30 | 2.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4172 |
|---|
| 57 | 30 | 3.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 58 | 30 | 4.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 59 | 30 | 5.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 60 | 30 | 6.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 61 | 30 | 7.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 62 | 30 | 8.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 63 | 30 | 9.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 64 | 30 | 10.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 65 | 30 | 11.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 66 | 30 | 12.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 67 | 30 | 13.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 68 | 30 | 14.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 69 | 30 | 15.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 70 | 30 | 16.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 71 | 30 | 17.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 72 | 30 | 18.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 73 | 30 | 19.0538 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 74 | 30 | 20.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 75 | 30 | 20.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 76 | 30 | 20.0000 | 21.1771 | 1.0665 | 1.7500e+03 | 21.4173 |
|---|
| 77 | 30 | 21.0000 | 21.1633 | 1.0671 | 1.7494e+03 | 21.4153 |
|---|
| 78 | 30 | 22.0000 | 21.1449 | 1.0680 | 1.7484e+03 | 21.4143 |
|---|
| 79 | 30 | 23.0000 | 21.1253 | 1.0689 | 1.7473e+03 | 21.4138 |
|---|
| 80 | 30 | 24.0000 | 21.1054 | 1.0699 | 1.7462e+03 | 21.4134 |
|---|
| 81 | 30 | 25.0000 | 21.0855 | 1.0709 | 1.7450e+03 | 21.4131 |
|---|
| 82 | 30 | 26.0000 | 21.0656 | 1.0719 | 1.7439e+03 | 21.4127 |
|---|
| 83 | 30 | 27.0000 | 21.0457 | 1.0729 | 1.7428e+03 | 21.4124 |
|---|
| 84 | 30 | 28.0000 | 21.0258 | 1.0739 | 1.7416e+03 | 21.4120 |
|---|
| 85 | 30 | 29.0000 | 21.0060 | 1.0749 | 1.7405e+03 | 21.4117 |
|---|
| 86 | 30 | 30.0000 | 20.9863 | 1.0759 | 1.7394e+03 | 21.4113 |
|---|
| 87 | 30 | 31.0000 | 20.9665 | 1.0769 | 1.7382e+03 | 21.4110 |
|---|
| 88 | 30 | 32.0000 | 20.9468 | 1.0779 | 1.7371e+03 | 21.4107 |
|---|
| 89 | 30 | 33.0000 | 20.9272 | 1.0789 | 1.7360e+03 | 21.4103 |
|---|
| 90 | 30 | 34.0000 | 20.9075 | 1.0799 | 1.7348e+03 | 21.4100 |
|---|
| 91 | 30 | 35.0000 | 20.8879 | 1.0809 | 1.7337e+03 | 21.4096 |
|---|
| 92 | 30 | 36.0000 | 20.8684 | 1.0819 | 1.7326e+03 | 21.4093 |
|---|
| 93 | 30 | 37.0000 | 20.8489 | 1.0828 | 1.7315e+03 | 21.4089 |
|---|
| 94 | 30 | 38.0000 | 20.8294 | 1.0838 | 1.7303e+03 | 21.4086 |
|---|
| 95 | 30 | 39.0000 | 20.8099 | 1.0848 | 1.7292e+03 | 21.4082 |
|---|
| 96 | 30 | 40.0000 | 20.7905 | 1.0858 | 1.7281e+03 | 21.4079 |
|---|
| 97 | 30 | 41.0000 | 20.7711 | 1.0868 | 1.7270e+03 | 21.4076 |
|---|
| 98 | 30 | 42.0000 | 20.7518 | 1.0878 | 1.7259e+03 | 21.4072 |
|---|
| 99 | 30 | 43.0000 | 20.7325 | 1.0888 | 1.7247e+03 | 21.4069 |
|---|
| 100 | 30 | 44.0000 | 20.7132 | 1.0898 | 1.7236e+03 | 21.4065 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | 276×6 table |
|---|
| 9 | 271×6 table |
|---|
| 10 | 281×6 table |
|---|
| 11 | 216×6 table |
|---|
| 12 | 226×6 table |
|---|
| 13 | 326×6 table |
|---|
| 14 | 356×6 table |
|---|
| 15 | 206×6 table |
|---|
| 16 | 141×6 table |
|---|
| 17 | 238×6 table |
|---|
| 18 | 111×6 table |
|---|
| 19 | 193×6 table |
|---|
| 20 | 581×6 table |
|---|
| 21 | 499×6 table |
|---|
| 22 | 176×6 table |
|---|
| 23 | 281×6 table |
|---|
| 24 | [ ] |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t = 159×6 table
| | ID | t | Ia | If | N | T |
|---|
| 1 | 31 | 0 | 92.9872 | 1.0669 | 9.5493 | 99.2040 |
|---|
| 2 | 31 | 0.0000 | 92.9871 | 1.0669 | 9.6903 | 98.2854 |
|---|
| 3 | 31 | 0.0000 | 92.9869 | 1.0669 | 9.8300 | 97.5273 |
|---|
| 4 | 31 | 0.0000 | 92.9867 | 1.0669 | 9.9685 | 96.9050 |
|---|
| 5 | 31 | 0.0000 | 92.9864 | 1.0669 | 10.2519 | 95.9095 |
|---|
| 6 | 31 | 0.0000 | 92.9860 | 1.0669 | 10.5325 | 95.2481 |
|---|
| 7 | 31 | 0.0000 | 92.9857 | 1.0669 | 10.8110 | 94.8214 |
|---|
| 8 | 31 | 0.0000 | 92.9853 | 1.0669 | 11.0882 | 94.5495 |
|---|
| 9 | 31 | 0.0001 | 92.9846 | 1.0669 | 11.6143 | 94.2936 |
|---|
| 10 | 31 | 0.0001 | 92.9839 | 1.0669 | 12.1392 | 94.1831 |
|---|
| 11 | 31 | 0.0001 | 92.9831 | 1.0669 | 12.6636 | 94.1228 |
|---|
| 12 | 31 | 0.0001 | 92.9823 | 1.0669 | 13.1877 | 94.0894 |
|---|
| 13 | 31 | 0.0001 | 92.9815 | 1.0669 | 13.7117 | 94.0749 |
|---|
| 14 | 31 | 0.0002 | 92.9785 | 1.0669 | 15.4008 | 94.0589 |
|---|
| 15 | 31 | 0.0002 | 92.9753 | 1.0669 | 17.0897 | 94.0620 |
|---|
| 16 | 31 | 0.0003 | 92.9717 | 1.0669 | 18.7785 | 94.0608 |
|---|
| 17 | 31 | 0.0003 | 92.9678 | 1.0669 | 20.4673 | 94.0563 |
|---|
| 18 | 31 | 0.0008 | 92.9197 | 1.0669 | 33.7836 | 94.0069 |
|---|
| 19 | 31 | 0.0012 | 92.8531 | 1.0669 | 47.0875 | 93.9395 |
|---|
| 20 | 31 | 0.0016 | 92.7685 | 1.0669 | 60.3757 | 93.8538 |
|---|
| 21 | 31 | 0.0031 | 92.3627 | 1.0669 | 105.8478 | 93.4433 |
|---|
| 22 | 31 | 0.0045 | 91.7809 | 1.0669 | 151.0013 | 92.8547 |
|---|
| 23 | 31 | 0.0060 | 91.0421 | 1.0669 | 195.7323 | 92.1073 |
|---|
| 24 | 31 | 0.0074 | 90.1671 | 1.0669 | 239.9466 | 91.2220 |
|---|
| 25 | 31 | 0.0115 | 87.1031 | 1.0669 | 361.8123 | 88.1222 |
|---|
| 26 | 31 | 0.0156 | 83.4605 | 1.0669 | 477.5863 | 84.4370 |
|---|
| 27 | 31 | 0.0197 | 79.5170 | 1.0669 | 586.4364 | 80.4473 |
|---|
| 28 | 31 | 0.0238 | 75.4627 | 1.0669 | 688.0039 | 76.3456 |
|---|
| 29 | 31 | 0.0280 | 71.4255 | 1.0669 | 782.2364 | 72.2612 |
|---|
| 30 | 31 | 0.0347 | 65.0338 | 1.0669 | 921.5279 | 65.7947 |
|---|
| 31 | 31 | 0.0415 | 59.1498 | 1.0669 | 1.0426e+03 | 59.8418 |
|---|
| 32 | 31 | 0.0482 | 53.8753 | 1.0669 | 1.1470e+03 | 54.5056 |
|---|
| 33 | 31 | 0.0549 | 49.2213 | 1.0669 | 1.2367e+03 | 49.7971 |
|---|
| 34 | 31 | 0.0617 | 45.1567 | 1.0669 | 1.3135e+03 | 45.6850 |
|---|
| 35 | 31 | 0.0739 | 39.1358 | 1.0669 | 1.4250e+03 | 39.5937 |
|---|
| 36 | 31 | 0.0861 | 34.5773 | 1.0669 | 1.5082e+03 | 34.9819 |
|---|
| 37 | 31 | 0.0983 | 31.1598 | 1.0669 | 1.5703e+03 | 31.5243 |
|---|
| 38 | 31 | 0.1106 | 28.6031 | 1.0669 | 1.6165e+03 | 28.9377 |
|---|
| 39 | 31 | 0.1228 | 26.6916 | 1.0669 | 1.6509e+03 | 27.0038 |
|---|
| 40 | 31 | 0.1418 | 24.6556 | 1.0669 | 1.6873e+03 | 24.9441 |
|---|
| 41 | 31 | 0.1608 | 23.3755 | 1.0669 | 1.7103e+03 | 23.6490 |
|---|
| 42 | 31 | 0.1798 | 22.5632 | 1.0669 | 1.7249e+03 | 22.8272 |
|---|
| 43 | 31 | 0.1988 | 22.0436 | 1.0669 | 1.7342e+03 | 22.3015 |
|---|
| 44 | 31 | 0.2178 | 21.7130 | 1.0669 | 1.7400e+03 | 21.9671 |
|---|
| 45 | 31 | 0.2479 | 21.4339 | 1.0669 | 1.7449e+03 | 21.6847 |
|---|
| 46 | 31 | 0.2781 | 21.3046 | 1.0669 | 1.7473e+03 | 21.5538 |
|---|
| 47 | 31 | 0.3083 | 21.2366 | 1.0669 | 1.7485e+03 | 21.4850 |
|---|
| 48 | 31 | 0.3384 | 21.1970 | 1.0669 | 1.7492e+03 | 21.4450 |
|---|
| 49 | 31 | 0.3686 | 21.1768 | 1.0669 | 1.7495e+03 | 21.4246 |
|---|
| 50 | 31 | 0.4566 | 21.1603 | 1.0669 | 1.7498e+03 | 21.4079 |
|---|
| 51 | 31 | 0.5447 | 21.1678 | 1.0669 | 1.7496e+03 | 21.4154 |
|---|
| 52 | 31 | 0.6327 | 21.1732 | 1.0669 | 1.7495e+03 | 21.4210 |
|---|
| 53 | 31 | 0.7207 | 21.1728 | 1.0669 | 1.7495e+03 | 21.4205 |
|---|
| 54 | 31 | 1.1653 | 21.1696 | 1.0669 | 1.7496e+03 | 21.4173 |
|---|
| 55 | 31 | 1.6098 | 21.1693 | 1.0669 | 1.7496e+03 | 21.4170 |
|---|
| 56 | 31 | 2.0000 | 21.1694 | 1.0669 | 1.7496e+03 | 21.4171 |
|---|
| 57 | 31 | 2.0000 | 21.1694 | 1.0669 | 1.7496e+03 | 21.4171 |
|---|
| 58 | 31 | 2.0000 | 21.1694 | 1.0669 | 1.7496e+03 | 21.4171 |
|---|
| 59 | 31 | 2.4445 | 21.1699 | 1.0669 | 1.7497e+03 | 21.4176 |
|---|
| 60 | 31 | 2.8891 | 21.1700 | 1.0669 | 1.7498e+03 | 21.4176 |
|---|
| 61 | 31 | 3.3336 | 21.1700 | 1.0669 | 1.7498e+03 | 21.4177 |
|---|
| 62 | 31 | 3.7782 | 21.1700 | 1.0669 | 1.7499e+03 | 21.4177 |
|---|
| 63 | 31 | 4.7782 | 21.1700 | 1.0669 | 1.7501e+03 | 21.4177 |
|---|
| 64 | 31 | 5.7782 | 21.1701 | 1.0669 | 1.7503e+03 | 21.4178 |
|---|
| 65 | 31 | 6.7782 | 21.1702 | 1.0669 | 1.7505e+03 | 21.4179 |
|---|
| 66 | 31 | 7.7782 | 21.1702 | 1.0669 | 1.7507e+03 | 21.4179 |
|---|
| 67 | 31 | 8.7782 | 21.1703 | 1.0669 | 1.7509e+03 | 21.4180 |
|---|
| 68 | 31 | 9.7782 | 21.1703 | 1.0669 | 1.7511e+03 | 21.4180 |
|---|
| 69 | 31 | 10.7782 | 21.1704 | 1.0669 | 1.7512e+03 | 21.4181 |
|---|
| 70 | 31 | 11.7782 | 21.1704 | 1.0669 | 1.7514e+03 | 21.4181 |
|---|
| 71 | 31 | 12.7782 | 21.1705 | 1.0669 | 1.7516e+03 | 21.4182 |
|---|
| 72 | 31 | 13.7782 | 21.1706 | 1.0669 | 1.7518e+03 | 21.4183 |
|---|
| 73 | 31 | 14.7782 | 21.1706 | 1.0669 | 1.7520e+03 | 21.4183 |
|---|
| 74 | 31 | 15.7782 | 21.1707 | 1.0669 | 1.7522e+03 | 21.4184 |
|---|
| 75 | 31 | 16.7782 | 21.1707 | 1.0669 | 1.7524e+03 | 21.4184 |
|---|
| 76 | 31 | 17.7782 | 21.1708 | 1.0669 | 1.7525e+03 | 21.4185 |
|---|
| 77 | 31 | 18.7782 | 21.1709 | 1.0669 | 1.7527e+03 | 21.4185 |
|---|
| 78 | 31 | 19.7782 | 21.1709 | 1.0669 | 1.7529e+03 | 21.4186 |
|---|
| 79 | 31 | 20.7782 | 21.1710 | 1.0669 | 1.7531e+03 | 21.4187 |
|---|
| 80 | 31 | 21.7782 | 21.1710 | 1.0669 | 1.7533e+03 | 21.4187 |
|---|
| 81 | 31 | 22.7782 | 21.1711 | 1.0669 | 1.7535e+03 | 21.4188 |
|---|
| 82 | 31 | 23.7782 | 21.1711 | 1.0669 | 1.7537e+03 | 21.4188 |
|---|
| 83 | 31 | 24.7782 | 21.1712 | 1.0669 | 1.7539e+03 | 21.4189 |
|---|
| 84 | 31 | 25.7782 | 21.1713 | 1.0669 | 1.7540e+03 | 21.4190 |
|---|
| 85 | 31 | 26.7782 | 21.1713 | 1.0669 | 1.7542e+03 | 21.4190 |
|---|
| 86 | 31 | 27.7782 | 21.1714 | 1.0669 | 1.7544e+03 | 21.4191 |
|---|
| 87 | 31 | 28.7782 | 21.1714 | 1.0669 | 1.7546e+03 | 21.4191 |
|---|
| 88 | 31 | 29.7782 | 21.1715 | 1.0669 | 1.7548e+03 | 21.4192 |
|---|
| 89 | 31 | 30.7782 | 21.1715 | 1.0669 | 1.7550e+03 | 21.4192 |
|---|
| 90 | 31 | 31.7782 | 21.1716 | 1.0669 | 1.7552e+03 | 21.4193 |
|---|
| 91 | 31 | 32.7782 | 21.1717 | 1.0669 | 1.7554e+03 | 21.4194 |
|---|
| 92 | 31 | 33.7782 | 21.1717 | 1.0669 | 1.7555e+03 | 21.4194 |
|---|
| 93 | 31 | 34.7782 | 21.1718 | 1.0669 | 1.7557e+03 | 21.4195 |
|---|
| 94 | 31 | 35.7782 | 21.1718 | 1.0669 | 1.7559e+03 | 21.4195 |
|---|
| 95 | 31 | 36.7782 | 21.1719 | 1.0669 | 1.7561e+03 | 21.4196 |
|---|
| 96 | 31 | 37.7782 | 21.1719 | 1.0669 | 1.7563e+03 | 21.4196 |
|---|
| 97 | 31 | 38.7782 | 21.1720 | 1.0669 | 1.7565e+03 | 21.4197 |
|---|
| 98 | 31 | 39.7782 | 21.1721 | 1.0669 | 1.7567e+03 | 21.4198 |
|---|
| 99 | 31 | 40.7782 | 21.1721 | 1.0669 | 1.7569e+03 | 21.4198 |
|---|
| 100 | 31 | 41.7782 | 21.1722 | 1.0669 | 1.7570e+03 | 21.4199 |
|---|
| ⋮ |
|---|
Data = 43×1 cell
| | 1 |
|---|
| 1 | 256×6 table |
|---|
| 2 | 236×6 table |
|---|
| 3 | 226×6 table |
|---|
| 4 | 246×6 table |
|---|
| 5 | 222×6 table |
|---|
| 6 | 207×6 table |
|---|
| 7 | 177×6 table |
|---|
| 8 | 276×6 table |
|---|
| 9 | 271×6 table |
|---|
| 10 | 281×6 table |
|---|
| 11 | 216×6 table |
|---|
| 12 | 226×6 table |
|---|
| 13 | 326×6 table |
|---|
| 14 | 356×6 table |
|---|
| 15 | 206×6 table |
|---|
| 16 | 141×6 table |
|---|
| 17 | 238×6 table |
|---|
| 18 | 111×6 table |
|---|
| 19 | 193×6 table |
|---|
| 20 | 581×6 table |
|---|
| 21 | 499×6 table |
|---|
| 22 | 176×6 table |
|---|
| 23 | 281×6 table |
|---|
| 24 | 159×6 table |
|---|
| 25 | [ ] |
|---|
| 26 | [ ] |
|---|
| 27 | [ ] |
|---|
| 28 | [ ] |
|---|
| 29 | [ ] |
|---|
| 30 | [ ] |
|---|
| 31 | [ ] |
|---|
| 32 | [ ] |
|---|
| 33 | [ ] |
|---|
| 34 | [ ] |
|---|
| 35 | [ ] |
|---|
| 36 | [ ] |
|---|
| 37 | [ ] |
|---|
| 38 | [ ] |
|---|
| 39 | [ ] |
|---|
| 40 | [ ] |
|---|
| 41 | [ ] |
|---|
| 42 | [ ] |
|---|
| 43 | [ ] |
|---|
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
32 0 92.987 1.0669 9.5493 99.204
32 4.2188e-06 92.987 1.0669 9.6903 98.285
32 8.4375e-06 92.987 1.0669 9.83 97.527
32 1.2656e-05 92.987 1.0669 9.9685 96.905
32 2.1367e-05 92.986 1.0669 10.252 95.909
32 3.0077e-05 92.986 1.0669 10.532 95.248
32 3.8787e-05 92.986 1.0669 10.811 94.821
32 4.7497e-05 92.985 1.0669 11.088 94.549
32 6.41e-05 92.985 1.0669 11.614 94.294
32 8.0703e-05 92.984 1.0669 12.139 94.183
32 9.7305e-05 92.983 1.0669 12.664 94.123
32 0.00011391 92.982 1.0669 13.188 94.089
32 0.00013051 92.981 1.0669 13.712 94.075
32 0.00018404 92.979 1.0669 15.401 94.059
32 0.00023757 92.975 1.0669 17.09 94.062
32 0.0002911 92.972 1.0669 18.779 94.061
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
33 0 92.987 1.0669 9.5493 99.204
33 4.2188e-06 92.987 1.0669 9.6903 98.285
33 8.4375e-06 92.987 1.0669 9.83 97.527
33 1.2656e-05 92.987 1.0669 9.9685 96.905
33 2.1367e-05 92.986 1.0669 10.252 95.909
33 3.0077e-05 92.986 1.0669 10.532 95.248
33 3.8787e-05 92.986 1.0669 10.811 94.821
33 4.7497e-05 92.985 1.0669 11.088 94.549
33 6.41e-05 92.985 1.0669 11.614 94.294
33 8.0703e-05 92.984 1.0669 12.139 94.183
33 9.7305e-05 92.983 1.0669 12.664 94.123
33 0.00011391 92.982 1.0669 13.188 94.089
33 0.00013051 92.981 1.0669 13.712 94.075
33 0.00018404 92.979 1.0669 15.401 94.059
33 0.00023757 92.975 1.0669 17.09 94.062
33 0.0002911 92.972 1.0669 18.779 94.061
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
34 0 92.987 1.0669 9.5493 99.204
34 4.2188e-06 92.987 1.0669 9.6903 98.285
34 8.4375e-06 92.987 1.0669 9.83 97.527
34 1.2656e-05 92.987 1.0669 9.9685 96.905
34 2.1367e-05 92.986 1.0669 10.252 95.909
34 3.0077e-05 92.986 1.0669 10.532 95.248
34 3.8787e-05 92.986 1.0669 10.811 94.821
34 4.7497e-05 92.985 1.0669 11.088 94.549
34 6.41e-05 92.985 1.0669 11.614 94.294
34 8.0703e-05 92.984 1.0669 12.139 94.183
34 9.7305e-05 92.983 1.0669 12.664 94.123
34 0.00011391 92.982 1.0669 13.188 94.089
34 0.00013051 92.981 1.0669 13.712 94.075
34 0.00018404 92.979 1.0669 15.401 94.059
34 0.00023757 92.975 1.0669 17.09 94.062
34 0.0002911 92.972 1.0669 18.779 94.061
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
35 0 92.987 1.0669 9.5493 99.204
35 4.2188e-06 92.987 1.0669 9.6903 98.285
35 8.4375e-06 92.987 1.0669 9.83 97.527
35 1.2656e-05 92.987 1.0669 9.9685 96.905
35 2.1367e-05 92.986 1.0669 10.252 95.909
35 3.0077e-05 92.986 1.0669 10.532 95.248
35 3.8787e-05 92.986 1.0669 10.811 94.821
35 4.7497e-05 92.985 1.0669 11.088 94.549
35 6.41e-05 92.985 1.0669 11.614 94.294
35 8.0703e-05 92.984 1.0669 12.139 94.183
35 9.7305e-05 92.983 1.0669 12.664 94.123
35 0.00011391 92.982 1.0669 13.188 94.089
35 0.00013051 92.981 1.0669 13.712 94.075
35 0.00018404 92.979 1.0669 15.401 94.059
35 0.00023757 92.975 1.0669 17.09 94.062
35 0.0002911 92.972 1.0669 18.779 94.061
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
36 0 92.987 1.0669 9.5493 99.204
36 4.2188e-06 92.987 1.0669 9.6903 98.285
36 8.4375e-06 92.987 1.0669 9.83 97.527
36 1.2656e-05 92.987 1.0669 9.9685 96.905
36 2.1367e-05 92.986 1.0669 10.252 95.909
36 3.0077e-05 92.986 1.0669 10.532 95.248
36 3.8787e-05 92.986 1.0669 10.811 94.821
36 4.7497e-05 92.985 1.0669 11.088 94.549
36 6.41e-05 92.985 1.0669 11.614 94.294
36 8.0703e-05 92.984 1.0669 12.139 94.183
36 9.7305e-05 92.983 1.0669 12.664 94.123
36 0.00011391 92.982 1.0669 13.188 94.089
36 0.00013051 92.981 1.0669 13.712 94.075
36 0.00018404 92.979 1.0669 15.401 94.059
36 0.00023757 92.975 1.0669 17.09 94.062
36 0.0002911 92.972 1.0669 18.779 94.061
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
37 0 92.987 1.0669 9.5493 99.204
37 4.2188e-06 92.987 1.0669 9.6903 98.285
37 8.4375e-06 92.987 1.0669 9.83 97.527
37 1.2656e-05 92.987 1.0669 9.9685 96.905
37 2.1367e-05 92.986 1.0669 10.252 95.909
37 3.0077e-05 92.986 1.0669 10.532 95.248
37 3.8787e-05 92.986 1.0669 10.811 94.821
37 4.7497e-05 92.985 1.0669 11.088 94.549
37 6.41e-05 92.985 1.0669 11.614 94.294
37 8.0703e-05 92.984 1.0669 12.139 94.183
37 9.7305e-05 92.983 1.0669 12.664 94.123
37 0.00011391 92.982 1.0669 13.188 94.089
37 0.00013051 92.981 1.0669 13.712 94.075
37 0.00018404 92.979 1.0669 15.401 94.059
37 0.00023757 92.975 1.0669 17.09 94.062
37 0.0002911 92.972 1.0669 18.779 94.061
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
38 0 92.987 1.0669 9.5493 99.204
38 4.2188e-06 92.987 1.0669 9.6903 98.285
38 8.4375e-06 92.987 1.0669 9.83 97.527
38 1.2656e-05 92.987 1.0669 9.9685 96.905
38 2.1367e-05 92.986 1.0669 10.252 95.909
38 3.0077e-05 92.986 1.0669 10.532 95.248
38 3.8787e-05 92.986 1.0669 10.811 94.821
38 4.7497e-05 92.985 1.0669 11.088 94.549
38 6.41e-05 92.985 1.0669 11.614 94.294
38 8.0703e-05 92.984 1.0669 12.139 94.183
38 9.7305e-05 92.983 1.0669 12.664 94.123
38 0.00011391 92.982 1.0669 13.188 94.089
38 0.00013051 92.981 1.0669 13.712 94.075
38 0.00018404 92.979 1.0669 15.401 94.059
38 0.00023757 92.975 1.0669 17.09 94.062
38 0.0002911 92.972 1.0669 18.779 94.061
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
39 0 92.987 1.0669 9.5493 99.204
39 4.2188e-06 92.987 1.0669 9.6903 98.285
39 8.4375e-06 92.987 1.0669 9.83 97.527
39 1.2656e-05 92.987 1.0669 9.9685 96.905
39 2.1367e-05 92.986 1.0669 10.252 95.909
39 3.0077e-05 92.986 1.0669 10.532 95.248
39 3.8787e-05 92.986 1.0669 10.811 94.821
39 4.7497e-05 92.985 1.0669 11.088 94.549
39 6.41e-05 92.985 1.0669 11.614 94.294
39 8.0703e-05 92.984 1.0669 12.139 94.183
39 9.7305e-05 92.983 1.0669 12.664 94.123
39 0.00011391 92.982 1.0669 13.188 94.089
39 0.00013051 92.981 1.0669 13.712 94.075
39 0.00018404 92.979 1.0669 15.401 94.059
39 0.00023757 92.975 1.0669 17.09 94.062
39 0.0002911 92.972 1.0669 18.779 94.061
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
4 0 92.987 1.0665 9.5493 99.169
4 4.2188e-06 92.987 1.0665 9.6903 98.251
4 8.4375e-06 92.987 1.0665 9.8299 97.493
4 1.2656e-05 92.987 1.0665 9.9683 96.871
4 2.1367e-05 92.986 1.0665 10.252 95.875
4 3.0077e-05 92.986 1.0665 10.532 95.214
4 3.8787e-05 92.986 1.0665 10.81 94.788
4 4.7497e-05 92.985 1.0665 11.088 94.516
4 6.41e-05 92.985 1.0665 11.613 94.26
4 8.0703e-05 92.984 1.0665 12.138 94.15
4 9.7305e-05 92.983 1.0665 12.662 94.089
4 0.00011391 92.982 1.0665 13.186 94.056
4 0.00013051 92.981 1.0665 13.71 94.041
4 0.00018404 92.979 1.0665 15.398 94.025
4 0.00023757 92.975 1.0665 17.086 94.029
4 0.0002911 92.972 1.0665 18.774 94.027
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
40 0 92.987 1.0669 9.5493 99.204
40 4.2188e-06 92.987 1.0669 9.6903 98.285
40 8.4375e-06 92.987 1.0669 9.83 97.527
40 1.2656e-05 92.987 1.0669 9.9685 96.905
40 2.1367e-05 92.986 1.0669 10.252 95.909
40 3.0077e-05 92.986 1.0669 10.532 95.248
40 3.8787e-05 92.986 1.0669 10.811 94.821
40 4.7497e-05 92.985 1.0669 11.088 94.549
40 6.41e-05 92.985 1.0669 11.614 94.294
40 8.0703e-05 92.984 1.0669 12.139 94.183
40 9.7305e-05 92.983 1.0669 12.664 94.123
40 0.00011391 92.982 1.0669 13.188 94.089
40 0.00013051 92.981 1.0669 13.712 94.075
40 0.00018404 92.979 1.0669 15.401 94.059
40 0.00023757 92.975 1.0669 17.09 94.062
40 0.0002911 92.972 1.0669 18.779 94.061
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
41 0 92.987 1.0669 9.5493 99.204
41 4.2188e-06 92.987 1.0669 9.6903 98.285
41 8.4375e-06 92.987 1.0669 9.83 97.527
41 1.2656e-05 92.987 1.0669 9.9685 96.905
41 2.1367e-05 92.986 1.0669 10.252 95.909
41 3.0077e-05 92.986 1.0669 10.532 95.248
41 3.8787e-05 92.986 1.0669 10.811 94.821
41 4.7497e-05 92.985 1.0669 11.088 94.549
41 6.41e-05 92.985 1.0669 11.614 94.294
41 8.0703e-05 92.984 1.0669 12.139 94.183
41 9.7305e-05 92.983 1.0669 12.664 94.123
41 0.00011391 92.982 1.0669 13.188 94.089
41 0.00013051 92.981 1.0669 13.712 94.075
41 0.00018404 92.979 1.0669 15.401 94.059
41 0.00023757 92.975 1.0669 17.09 94.062
41 0.0002911 92.972 1.0669 18.779 94.061
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
42 0 92.987 1.0669 9.5493 99.204
42 4.2188e-06 92.987 1.0669 9.6903 98.285
42 8.4375e-06 92.987 1.0669 9.83 97.527
42 1.2656e-05 92.987 1.0669 9.9685 96.905
42 2.1367e-05 92.986 1.0669 10.252 95.909
42 3.0077e-05 92.986 1.0669 10.532 95.248
42 3.8787e-05 92.986 1.0669 10.811 94.821
42 4.7497e-05 92.985 1.0669 11.088 94.549
42 6.41e-05 92.985 1.0669 11.614 94.294
42 8.0703e-05 92.984 1.0669 12.139 94.183
42 9.7305e-05 92.983 1.0669 12.664 94.123
42 0.00011391 92.982 1.0669 13.188 94.089
42 0.00013051 92.981 1.0669 13.712 94.075
42 0.00018404 92.979 1.0669 15.401 94.059
42 0.00023757 92.975 1.0669 17.09 94.062
42 0.0002911 92.972 1.0669 18.779 94.061
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
43 0 92.987 1.0669 9.5493 99.204
43 4.2188e-06 92.987 1.0669 9.6903 98.285
43 8.4375e-06 92.987 1.0669 9.83 97.527
43 1.2656e-05 92.987 1.0669 9.9685 96.905
43 2.1367e-05 92.986 1.0669 10.252 95.909
43 3.0077e-05 92.986 1.0669 10.532 95.248
43 3.8787e-05 92.986 1.0669 10.811 94.821
43 4.7497e-05 92.985 1.0669 11.088 94.549
43 6.41e-05 92.985 1.0669 11.614 94.294
43 8.0703e-05 92.984 1.0669 12.139 94.183
43 9.7305e-05 92.983 1.0669 12.664 94.123
43 0.00011391 92.982 1.0669 13.188 94.089
43 0.00013051 92.981 1.0669 13.712 94.075
43 0.00018404 92.979 1.0669 15.401 94.059
43 0.00023757 92.975 1.0669 17.09 94.062
43 0.0002911 92.972 1.0669 18.779 94.061
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
44 0 92.987 1.0669 9.5493 99.204
44 4.2188e-06 92.987 1.0669 9.6903 98.285
44 8.4375e-06 92.987 1.0669 9.83 97.527
44 1.2656e-05 92.987 1.0669 9.9685 96.905
44 2.1367e-05 92.986 1.0669 10.252 95.909
44 3.0077e-05 92.986 1.0669 10.532 95.248
44 3.8787e-05 92.986 1.0669 10.811 94.821
44 4.7497e-05 92.985 1.0669 11.088 94.549
44 6.41e-05 92.985 1.0669 11.614 94.294
44 8.0703e-05 92.984 1.0669 12.139 94.183
44 9.7305e-05 92.983 1.0669 12.664 94.123
44 0.00011391 92.982 1.0669 13.188 94.089
44 0.00013051 92.981 1.0669 13.712 94.075
44 0.00018404 92.979 1.0669 15.401 94.059
44 0.00023757 92.975 1.0669 17.09 94.062
44 0.0002911 92.972 1.0669 18.779 94.061
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
5 0 92.987 1.0665 9.5493 99.169
5 4.2188e-06 92.987 1.0665 9.6903 98.251
5 8.4375e-06 92.987 1.0665 9.8299 97.493
5 1.2656e-05 92.987 1.0665 9.9683 96.871
5 2.1367e-05 92.986 1.0665 10.252 95.875
5 3.0077e-05 92.986 1.0665 10.532 95.214
5 3.8787e-05 92.986 1.0665 10.81 94.788
5 4.7497e-05 92.985 1.0665 11.088 94.516
5 6.41e-05 92.985 1.0665 11.613 94.26
5 8.0703e-05 92.984 1.0665 12.138 94.15
5 9.7305e-05 92.983 1.0665 12.662 94.089
5 0.00011391 92.982 1.0665 13.186 94.056
5 0.00013051 92.981 1.0665 13.71 94.041
5 0.00018404 92.979 1.0665 15.398 94.025
5 0.00023757 92.975 1.0665 17.086 94.029
5 0.0002911 92.972 1.0665 18.774 94.027
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
6 0 92.987 1.0665 9.5493 99.169
6 4.2188e-06 92.987 1.0665 9.6903 98.251
6 8.4375e-06 92.987 1.0665 9.8299 97.493
6 1.2656e-05 92.987 1.0665 9.9683 96.871
6 2.1367e-05 92.986 1.0665 10.252 95.875
6 3.0077e-05 92.986 1.0665 10.532 95.214
6 3.8787e-05 92.986 1.0665 10.81 94.788
6 4.7497e-05 92.985 1.0665 11.088 94.516
6 6.41e-05 92.985 1.0665 11.613 94.26
6 8.0703e-05 92.984 1.0665 12.138 94.15
6 9.7305e-05 92.983 1.0665 12.662 94.089
6 0.00011391 92.982 1.0665 13.186 94.056
6 0.00013051 92.981 1.0665 13.71 94.041
6 0.00018404 92.979 1.0665 15.398 94.025
6 0.00023757 92.975 1.0665 17.086 94.029
6 0.0002911 92.972 1.0665 18.774 94.027
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
7 0 92.987 1.0665 9.5493 99.169
7 4.2188e-06 92.987 1.0665 9.6903 98.251
7 8.4375e-06 92.987 1.0665 9.8299 97.493
7 1.2656e-05 92.987 1.0665 9.9683 96.871
7 2.1367e-05 92.986 1.0665 10.252 95.875
7 3.0077e-05 92.986 1.0665 10.532 95.214
7 3.8787e-05 92.986 1.0665 10.81 94.788
7 4.7497e-05 92.985 1.0665 11.088 94.516
7 6.41e-05 92.985 1.0665 11.613 94.26
7 8.0703e-05 92.984 1.0665 12.138 94.15
7 9.7305e-05 92.983 1.0665 12.662 94.089
7 0.00011391 92.982 1.0665 13.186 94.056
7 0.00013051 92.981 1.0665 13.71 94.041
7 0.00018404 92.979 1.0665 15.398 94.025
7 0.00023757 92.975 1.0665 17.086 94.029
7 0.0002911 92.972 1.0665 18.774 94.027
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
8 0 92.987 1.0665 9.5493 99.169
8 4.2188e-06 92.987 1.0665 9.6903 98.251
8 8.4375e-06 92.987 1.0665 9.8299 97.493
8 1.2656e-05 92.987 1.0665 9.9683 96.871
8 2.1367e-05 92.986 1.0665 10.252 95.875
8 3.0077e-05 92.986 1.0665 10.532 95.214
8 3.8787e-05 92.986 1.0665 10.81 94.788
8 4.7497e-05 92.985 1.0665 11.088 94.516
8 6.41e-05 92.985 1.0665 11.613 94.26
8 8.0703e-05 92.984 1.0665 12.138 94.15
8 9.7305e-05 92.983 1.0665 12.662 94.089
8 0.00011391 92.982 1.0665 13.186 94.056
8 0.00013051 92.981 1.0665 13.71 94.041
8 0.00018404 92.979 1.0665 15.398 94.025
8 0.00023757 92.975 1.0665 17.086 94.029
8 0.0002911 92.972 1.0665 18.774 94.027
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
t =
ID t Ia If N T
__ __________ ______ ______ ______ ______
9 0 92.987 1.0665 9.5493 99.169
9 4.2188e-06 92.987 1.0665 9.6903 98.251
9 8.4375e-06 92.987 1.0665 9.8299 97.493
9 1.2656e-05 92.987 1.0665 9.9683 96.871
9 2.1367e-05 92.986 1.0665 10.252 95.875
9 3.0077e-05 92.986 1.0665 10.532 95.214
9 3.8787e-05 92.986 1.0665 10.81 94.788
9 4.7497e-05 92.985 1.0665 11.088 94.516
9 6.41e-05 92.985 1.0665 11.613 94.26
9 8.0703e-05 92.984 1.0665 12.138 94.15
9 9.7305e-05 92.983 1.0665 12.662 94.089
9 0.00011391 92.982 1.0665 13.186 94.056
9 0.00013051 92.981 1.0665 13.71 94.041
9 0.00018404 92.979 1.0665 15.398 94.025
9 0.00023757 92.975 1.0665 17.086 94.029
9 0.0002911 92.972 1.0665 18.774 94.027
Data =
{256×6 table}
{236×6 table}
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{276×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
Data is the cell array through which every simulation can be iterated. We do have different types of data
variables like ‘T’, ‘N’, ‘Ia’, ‘If’ and one time variable as ‘t’ and one ‘ID’ variable which is not of much use. I have
divided these variables into different categories from the code given below.
varNames = string(Data{1}.Properties.VariableNames);
timeVariable = varNames{2};
dataVariables = varNames(3:6);
We do have total 43 simulations so we need to divide the given data into train data and validation data. I do
have taken numfold in such a way that train data contains 38 instances and validation data contains only five
instances. Rng is set to default to make the results repeatable.
rng('default') %Control random number generator a
numEnsemble = length(Data);
cv = cvpartition(numEnsemble, 'KFold', numFold); %Partition data for cross-validation
trainData = Data(training(cv, 1));
validationData = Data(test(cv, 1));
helperPlotEnsemble(trainData, timeVariable, ...
dataVariables(1:4), nsample)
As our data do not contain multiple operating conditions it is not needed to do clustering, as we have used the same machine with different inputs for introducing faults. I do have normalised the data, I am not sure what is the need of this step. But it usually helps in machine learning algorithms as if,As an example, Field current is having a range in in 0-5A and ‘torque’ in range 0-1000Nm so due to this difference in range it creates problems in training a model. More preference will be given to torque which should not be the case. Therefore whole data is normalised wrt train data. Code is given below:
First mean and standard deviation is found by concatenating whole training data.
trainDataUnwrap = vertcat(trainData{:}); %vertcat = Concatenate arrays vertically
centerstats = struct('Mean', table(), 'SD', table());
centerstats.Mean.(char(v)) = splitapply(@mean, trainDataUnwrap.(char(v)),1 );
centerstats.SD.(char(v)) = splitapply(@std, trainDataUnwrap.(char(v)), 1);
centerstats
centerstats =
Mean: [1×4 table]
SD: [1×4 table]
centerstats.Mean
ans =
Ia If N T
______ ______ ______ ______
30.459 1.1241 2033.8 31.659
centerstats.SD
ans =
Ia If N T
______ _______ ____ ______
23.751 0.23276 3241 23.871
Now whole train data is normalised into new variable new_train:
new_train=trainData
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train{i}.Ia=(trainData{i}.Ia-centerstats.Mean.Ia)/centerstats.SD.Ia
new_train{i}.If=(trainData{i}.If-centerstats.Mean.If)/centerstats.SD.If
new_train{i}.N=(trainData{i}.N-centerstats.Mean.N)/centerstats.SD.N
new_train{i}.T=(trainData{i}.T-centerstats.Mean.T)/centerstats.SD.T
end
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
new_train =
{226×6 table}
{246×6 table}
{222×6 table}
{207×6 table}
{177×6 table}
{271×6 table}
{281×6 table}
{216×6 table}
{226×6 table}
{326×6 table}
{356×6 table}
{206×6 table}
{141×6 table}
{238×6 table}
{111×6 table}
{581×6 table}
Full training data and new_train data is plotted with the help of helperplot function into two different figures from similarity model based approach, you have to just put the premade function into your working directory. Or just double click on the error it will do the whole thing on its own.
helperPlotEnsemble(trainData, timeVariable, ...
[dataVariables(1:4)], nsample)
%normalised train data plot
helperPlotEnsemble(new_train, timeVariable, ...
[dataVariables(1:4)], nsample)
As we do have only four sensor measurements “Ia”, “If”, “N”, and “T” so we do not need to take out only those measurements which do have positive or negative trend. Like as an example if we do have 26 sensor measurements as in reference model we can take out 8-10 most important features which are undergoing changes as machine goes from healthy state to faulty state.
But for the sake of convenience I have used Linear degradation model which can sort the slope of variables in whole train data from which most trendable can be choosed. Here is the code:
numSensors = length(dataVariables);
signalSlope = zeros(numSensors, 1);
tmp = cellfun(@(tbl) tbl(:, cellstr(dataVariables(ct))), new_train, 'UniformOutput', false);
mdl = linearDegradationModel(); % create model
fit(mdl, tmp); % train mode
signalSlope(ct) = mdl.Theta;
[~, idx] = sort(abs(signalSlope), 'descend');
helperPlotEnsemble(new_train, timeVariable, dataVariables(idx), nsample)
Variables has been plot in the order of their slope. But I think it will be of not much use in our model reason as we do have very less no of variables, reducing them does not make sense.
Now in upcoming time we will construct health indicator which will go from healthy state to faulty i.e.. 1 to 0. It is just needed to fuse whole training data into one variable it will help in taking less complex machine learning algorithms.
rul = max(dataset.t)-dataset.t;
dataset.health_condition = rul / max(rul);
Now this health condition is plotted for new_train(normalised train data):
helperPlotEnsemble(new_train, timeVariable, "health_condition", nsample)
newtrainUnwrap = vertcat(new_train{:});
sensorToFuse = dataVariables(idx);
X = newtrainUnwrap{:, cellstr(sensorToFuse)};
y = newtrainUnwrap.health_condition;
// whole data is now fit into linear regression model means they are basically trying to find the health indicator in form of four variables in linear form, for which there will be slope for each variable and a bias term. It will be helpful in further process.
regModel = fitlm(X,y)
regModel =
Linear regression model:
y ~ 1 + x1 + x2 + x3 + x4
Estimated Coefficients:
Estimate SE tStat pValue
________ _________ _______ ___________
(Intercept) 0.62091 0.002779 223.43 0
x1 2.5238 0.073019 34.563 2.9204e-245
x2 -2.3637 0.072413 -32.641 1.905e-220
x3 -0.07245 0.0028551 -25.376 4.6401e-137
x4 0.088752 0.0054967 16.146 8.4691e-58
Number of observations: 8619, Error degrees of freedom: 8614
Root Mean Squared Error: 0.258
R-squared: 0.39, Adjusted R-Squared: 0.389
F-statistic vs. constant model: 1.38e+03, p-value = 0
bias = regModel.Coefficients.Estimate(1)
weights = regModel.Coefficients.Estimate(2:end)
weights =
2.5238
-2.3637
-0.0725
0.0888
Construct a single health indicator by multiplying the sensor measurements with their associated weights .
trainDataFused=cell(38,1)
trainDataFused =
{0×0 double}
{0×0 double}
{0×0 double}
{0×0 double}
{0×0 double}
{0×0 double}
{0×0 double}
{0×0 double}
{0×0 double}
{0×0 double}
{0×0 double}
{0×0 double}
{0×0 double}
{0×0 double}
{0×0 double}
{0×0 double}
datatofuse=data{:,cellstr(sensorToFuse)};
dataFuseRaw=datatofuse*weights;
trainDataFused{j}=dataFuseRaw;
end
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
11 0 2.6327 -0.24773 -0.62456 2.8281 1
11 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
11 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
11 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
11 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
11 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
11 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
11 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
11 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
11 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
11 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
11 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
11 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
11 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
11 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
11 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
12 0 2.6327 -0.24773 -0.62456 2.8281 1
12 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
12 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
12 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
12 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
12 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
12 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
12 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
12 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
12 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
12 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
12 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
12 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
12 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
12 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
12 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
13 0 2.6327 -0.24773 -0.62456 2.8281 1
13 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
13 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
13 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
13 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
13 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
13 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
13 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
13 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
13 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
13 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
13 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
13 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
13 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
13 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
13 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
14 0 2.6327 -0.24773 -0.62456 2.8281 1
14 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
14 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
14 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
14 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
14 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
14 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
14 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
14 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
14 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
14 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
14 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
14 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
14 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
14 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
14 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
15 0 2.6327 -0.24773 -0.62456 2.8281 1
15 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
15 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
15 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
15 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
15 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
15 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
15 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
15 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
15 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
15 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
15 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
15 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
15 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
15 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
15 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
17 0 2.6327 -0.24773 -0.62456 2.8281 1
17 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
17 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
17 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
17 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
17 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
17 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
17 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
17 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
17 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
17 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
17 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
17 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
17 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
17 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
17 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
18 0 2.6327 -0.24773 -0.62456 2.8281 1
18 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
18 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
18 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
18 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
18 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
18 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
18 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
18 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
18 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
18 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
18 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
18 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
18 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
18 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
18 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
19 0 2.6327 -0.24773 -0.62456 2.8281 1
19 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
19 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
19 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
19 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
19 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
19 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
19 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
19 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
19 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
19 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
19 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
19 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
19 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
19 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
19 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
2 0 2.6327 -0.24773 -0.62456 2.8281 1
2 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
2 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
2 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
2 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
2 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
2 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
2 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
2 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
2 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
2 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
2 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
2 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
2 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
2 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
2 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
20 0 2.6327 -0.24773 -0.62456 2.8281 1
20 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
20 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
20 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
20 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
20 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
20 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
20 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
20 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
20 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
20 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
20 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
20 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
20 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
20 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
20 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
21 0 2.6327 -0.24773 -0.62456 2.8281 1
21 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
21 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
21 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
21 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
21 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
21 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
21 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
21 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
21 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
21 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
21 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
21 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
21 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
21 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
21 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
22 0 2.6327 -0.24773 -0.62456 2.8281 1
22 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
22 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
22 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
22 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
22 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
22 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
22 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
22 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
22 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
22 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
22 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
22 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
22 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
22 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
22 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
23 0 2.6327 -0.24773 -0.62456 2.8281 1
23 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
23 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
23 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
23 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
23 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
23 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
23 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
23 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
23 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
23 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
23 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
23 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
23 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
23 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
23 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
25 0 2.6327 -0.24773 -0.62456 2.8281 1
25 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
25 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
25 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
25 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
25 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
25 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
25 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
25 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
25 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
25 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
25 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
25 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
25 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
25 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
25 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
26 0 2.6327 -0.24773 -0.62456 2.8281 1
26 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
26 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
26 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
26 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
26 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
26 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
26 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
26 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
26 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
26 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
26 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
26 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
26 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
26 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
26 0.0002911 2.632 -0.24773 -0.62172 2.6127 0.99999
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
28 0 2.6327 -0.24773 -0.62456 2.8281 1
28 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
28 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
28 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
28 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
28 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
28 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
28 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
28 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
28 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
28 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
28 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
28 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
28 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
28 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
28 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
29 0 2.6327 -0.24773 -0.62456 2.8281 1
29 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
29 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
29 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
29 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
29 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
29 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
29 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
29 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
29 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
29 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
29 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
29 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
29 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
29 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
29 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
3 0 2.6327 -0.24773 -0.62456 2.8281 1
3 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
3 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
3 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
3 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
3 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
3 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
3 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
3 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
3 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
3 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
3 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
3 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
3 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
3 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
3 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
30 0 2.6327 -0.24773 -0.62456 2.8281 1
30 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
30 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
30 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
30 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
30 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
30 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
30 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
30 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
30 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
30 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
30 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
30 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
30 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
30 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
30 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ _______ ________ ______ ________________
31 0 2.6327 -0.2461 -0.62456 2.8296 1
31 4.2188e-06 2.6327 -0.2461 -0.62452 2.7911 1
31 8.4375e-06 2.6327 -0.2461 -0.62448 2.7593 1
31 1.2656e-05 2.6327 -0.2461 -0.62443 2.7333 1
31 2.1367e-05 2.6327 -0.2461 -0.62435 2.6916 1
31 3.0077e-05 2.6326 -0.2461 -0.62426 2.6639 1
31 3.8787e-05 2.6326 -0.2461 -0.62417 2.646 1
31 4.7497e-05 2.6326 -0.2461 -0.62409 2.6346 1
31 6.41e-05 2.6326 -0.2461 -0.62393 2.6239 1
31 8.0703e-05 2.6326 -0.2461 -0.62376 2.6192 1
31 9.7305e-05 2.6325 -0.2461 -0.6236 2.6167 1
31 0.00011391 2.6325 -0.2461 -0.62344 2.6153 1
31 0.00013051 2.6325 -0.2461 -0.62328 2.6147 1
31 0.00018404 2.6323 -0.2461 -0.62276 2.614 1
31 0.00023757 2.6322 -0.2461 -0.62224 2.6142 1
31 0.0002911 2.632 -0.2461 -0.62171 2.6141 1
data =
ID t Ia If N T health_condition
__ __________ ______ _______ ________ ______ ________________
32 0 2.6327 -0.2461 -0.62456 2.8296 1
32 4.2188e-06 2.6327 -0.2461 -0.62452 2.7911 1
32 8.4375e-06 2.6327 -0.2461 -0.62448 2.7593 1
32 1.2656e-05 2.6327 -0.2461 -0.62443 2.7333 1
32 2.1367e-05 2.6327 -0.2461 -0.62435 2.6916 1
32 3.0077e-05 2.6326 -0.2461 -0.62426 2.6639 1
32 3.8787e-05 2.6326 -0.2461 -0.62417 2.646 1
32 4.7497e-05 2.6326 -0.2461 -0.62409 2.6346 1
32 6.41e-05 2.6326 -0.2461 -0.62393 2.6239 1
32 8.0703e-05 2.6326 -0.2461 -0.62376 2.6192 1
32 9.7305e-05 2.6325 -0.2461 -0.6236 2.6167 1
32 0.00011391 2.6325 -0.2461 -0.62344 2.6153 1
32 0.00013051 2.6325 -0.2461 -0.62328 2.6147 1
32 0.00018404 2.6323 -0.2461 -0.62276 2.614 1
32 0.00023757 2.6322 -0.2461 -0.62224 2.6142 1
32 0.0002911 2.632 -0.2461 -0.62171 2.6141 1
data =
ID t Ia If N T health_condition
__ __________ ______ _______ ________ ______ ________________
33 0 2.6327 -0.2461 -0.62456 2.8296 1
33 4.2188e-06 2.6327 -0.2461 -0.62452 2.7911 1
33 8.4375e-06 2.6327 -0.2461 -0.62448 2.7593 1
33 1.2656e-05 2.6327 -0.2461 -0.62443 2.7333 1
33 2.1367e-05 2.6327 -0.2461 -0.62435 2.6916 1
33 3.0077e-05 2.6326 -0.2461 -0.62426 2.6639 1
33 3.8787e-05 2.6326 -0.2461 -0.62417 2.646 1
33 4.7497e-05 2.6326 -0.2461 -0.62409 2.6346 1
33 6.41e-05 2.6326 -0.2461 -0.62393 2.6239 1
33 8.0703e-05 2.6326 -0.2461 -0.62376 2.6192 1
33 9.7305e-05 2.6325 -0.2461 -0.6236 2.6167 1
33 0.00011391 2.6325 -0.2461 -0.62344 2.6153 1
33 0.00013051 2.6325 -0.2461 -0.62328 2.6147 1
33 0.00018404 2.6323 -0.2461 -0.62276 2.614 1
33 0.00023757 2.6322 -0.2461 -0.62224 2.6142 1
33 0.0002911 2.632 -0.2461 -0.62171 2.6141 1
data =
ID t Ia If N T health_condition
__ __________ ______ _______ ________ ______ ________________
34 0 2.6327 -0.2461 -0.62456 2.8296 1
34 4.2188e-06 2.6327 -0.2461 -0.62452 2.7911 1
34 8.4375e-06 2.6327 -0.2461 -0.62448 2.7593 1
34 1.2656e-05 2.6327 -0.2461 -0.62443 2.7333 1
34 2.1367e-05 2.6327 -0.2461 -0.62435 2.6916 1
34 3.0077e-05 2.6326 -0.2461 -0.62426 2.6639 1
34 3.8787e-05 2.6326 -0.2461 -0.62417 2.646 1
34 4.7497e-05 2.6326 -0.2461 -0.62409 2.6346 1
34 6.41e-05 2.6326 -0.2461 -0.62393 2.6239 1
34 8.0703e-05 2.6326 -0.2461 -0.62376 2.6192 1
34 9.7305e-05 2.6325 -0.2461 -0.6236 2.6167 1
34 0.00011391 2.6325 -0.2461 -0.62344 2.6153 1
34 0.00013051 2.6325 -0.2461 -0.62328 2.6147 1
34 0.00018404 2.6323 -0.2461 -0.62276 2.614 1
34 0.00023757 2.6322 -0.2461 -0.62224 2.6142 1
34 0.0002911 2.632 -0.2461 -0.62171 2.6141 1
data =
ID t Ia If N T health_condition
__ __________ ______ _______ ________ ______ ________________
35 0 2.6327 -0.2461 -0.62456 2.8296 1
35 4.2188e-06 2.6327 -0.2461 -0.62452 2.7911 1
35 8.4375e-06 2.6327 -0.2461 -0.62448 2.7593 1
35 1.2656e-05 2.6327 -0.2461 -0.62443 2.7333 1
35 2.1367e-05 2.6327 -0.2461 -0.62435 2.6916 1
35 3.0077e-05 2.6326 -0.2461 -0.62426 2.6639 1
35 3.8787e-05 2.6326 -0.2461 -0.62417 2.646 1
35 4.7497e-05 2.6326 -0.2461 -0.62409 2.6346 1
35 6.41e-05 2.6326 -0.2461 -0.62393 2.6239 1
35 8.0703e-05 2.6326 -0.2461 -0.62376 2.6192 1
35 9.7305e-05 2.6325 -0.2461 -0.6236 2.6167 1
35 0.00011391 2.6325 -0.2461 -0.62344 2.6153 1
35 0.00013051 2.6325 -0.2461 -0.62328 2.6147 1
35 0.00018404 2.6323 -0.2461 -0.62276 2.614 1
35 0.00023757 2.6322 -0.2461 -0.62224 2.6142 1
35 0.0002911 2.632 -0.2461 -0.62171 2.6141 1
data =
ID t Ia If N T health_condition
__ __________ ______ _______ ________ ______ ________________
36 0 2.6327 -0.2461 -0.62456 2.8296 1
36 4.2188e-06 2.6327 -0.2461 -0.62452 2.7911 1
36 8.4375e-06 2.6327 -0.2461 -0.62448 2.7593 1
36 1.2656e-05 2.6327 -0.2461 -0.62443 2.7333 1
36 2.1367e-05 2.6327 -0.2461 -0.62435 2.6916 1
36 3.0077e-05 2.6326 -0.2461 -0.62426 2.6639 1
36 3.8787e-05 2.6326 -0.2461 -0.62417 2.646 1
36 4.7497e-05 2.6326 -0.2461 -0.62409 2.6346 1
36 6.41e-05 2.6326 -0.2461 -0.62393 2.6239 1
36 8.0703e-05 2.6326 -0.2461 -0.62376 2.6192 1
36 9.7305e-05 2.6325 -0.2461 -0.6236 2.6167 1
36 0.00011391 2.6325 -0.2461 -0.62344 2.6153 1
36 0.00013051 2.6325 -0.2461 -0.62328 2.6147 1
36 0.00018404 2.6323 -0.2461 -0.62276 2.614 1
36 0.00023757 2.6322 -0.2461 -0.62224 2.6142 1
36 0.0002911 2.632 -0.2461 -0.62171 2.6141 1
data =
ID t Ia If N T health_condition
__ __________ ______ _______ ________ ______ ________________
37 0 2.6327 -0.2461 -0.62456 2.8296 1
37 4.2188e-06 2.6327 -0.2461 -0.62452 2.7911 1
37 8.4375e-06 2.6327 -0.2461 -0.62448 2.7593 1
37 1.2656e-05 2.6327 -0.2461 -0.62443 2.7333 1
37 2.1367e-05 2.6327 -0.2461 -0.62435 2.6916 1
37 3.0077e-05 2.6326 -0.2461 -0.62426 2.6639 1
37 3.8787e-05 2.6326 -0.2461 -0.62417 2.646 1
37 4.7497e-05 2.6326 -0.2461 -0.62409 2.6346 1
37 6.41e-05 2.6326 -0.2461 -0.62393 2.6239 1
37 8.0703e-05 2.6326 -0.2461 -0.62376 2.6192 1
37 9.7305e-05 2.6325 -0.2461 -0.6236 2.6167 1
37 0.00011391 2.6325 -0.2461 -0.62344 2.6153 1
37 0.00013051 2.6325 -0.2461 -0.62328 2.6147 1
37 0.00018404 2.6323 -0.2461 -0.62276 2.614 1
37 0.00023757 2.6322 -0.2461 -0.62224 2.6142 1
37 0.0002911 2.632 -0.2461 -0.62171 2.6141 1
data =
ID t Ia If N T health_condition
__ __________ ______ _______ ________ ______ ________________
38 0 2.6327 -0.2461 -0.62456 2.8296 1
38 4.2188e-06 2.6327 -0.2461 -0.62452 2.7911 1
38 8.4375e-06 2.6327 -0.2461 -0.62448 2.7593 1
38 1.2656e-05 2.6327 -0.2461 -0.62443 2.7333 1
38 2.1367e-05 2.6327 -0.2461 -0.62435 2.6916 1
38 3.0077e-05 2.6326 -0.2461 -0.62426 2.6639 1
38 3.8787e-05 2.6326 -0.2461 -0.62417 2.646 1
38 4.7497e-05 2.6326 -0.2461 -0.62409 2.6346 1
38 6.41e-05 2.6326 -0.2461 -0.62393 2.6239 1
38 8.0703e-05 2.6326 -0.2461 -0.62376 2.6192 1
38 9.7305e-05 2.6325 -0.2461 -0.6236 2.6167 1
38 0.00011391 2.6325 -0.2461 -0.62344 2.6153 1
38 0.00013051 2.6325 -0.2461 -0.62328 2.6147 1
38 0.00018404 2.6323 -0.2461 -0.62276 2.614 1
38 0.00023757 2.6322 -0.2461 -0.62224 2.6142 1
38 0.0002911 2.632 -0.2461 -0.62171 2.6141 1
data =
ID t Ia If N T health_condition
__ __________ ______ _______ ________ ______ ________________
39 0 2.6327 -0.2461 -0.62456 2.8296 1
39 4.2188e-06 2.6327 -0.2461 -0.62452 2.7911 1
39 8.4375e-06 2.6327 -0.2461 -0.62448 2.7593 1
39 1.2656e-05 2.6327 -0.2461 -0.62443 2.7333 1
39 2.1367e-05 2.6327 -0.2461 -0.62435 2.6916 1
39 3.0077e-05 2.6326 -0.2461 -0.62426 2.6639 1
39 3.8787e-05 2.6326 -0.2461 -0.62417 2.646 1
39 4.7497e-05 2.6326 -0.2461 -0.62409 2.6346 1
39 6.41e-05 2.6326 -0.2461 -0.62393 2.6239 1
39 8.0703e-05 2.6326 -0.2461 -0.62376 2.6192 1
39 9.7305e-05 2.6325 -0.2461 -0.6236 2.6167 1
39 0.00011391 2.6325 -0.2461 -0.62344 2.6153 1
39 0.00013051 2.6325 -0.2461 -0.62328 2.6147 1
39 0.00018404 2.6323 -0.2461 -0.62276 2.614 1
39 0.00023757 2.6322 -0.2461 -0.62224 2.6142 1
39 0.0002911 2.632 -0.2461 -0.62171 2.6141 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
4 0 2.6327 -0.24773 -0.62456 2.8281 1
4 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
4 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
4 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
4 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
4 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
4 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
4 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
4 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
4 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
4 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
4 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
4 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
4 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
4 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
4 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ _______ ________ ______ ________________
40 0 2.6327 -0.2461 -0.62456 2.8296 1
40 4.2188e-06 2.6327 -0.2461 -0.62452 2.7911 1
40 8.4375e-06 2.6327 -0.2461 -0.62448 2.7593 1
40 1.2656e-05 2.6327 -0.2461 -0.62443 2.7333 1
40 2.1367e-05 2.6327 -0.2461 -0.62435 2.6916 1
40 3.0077e-05 2.6326 -0.2461 -0.62426 2.6639 1
40 3.8787e-05 2.6326 -0.2461 -0.62417 2.646 1
40 4.7497e-05 2.6326 -0.2461 -0.62409 2.6346 1
40 6.41e-05 2.6326 -0.2461 -0.62393 2.6239 1
40 8.0703e-05 2.6326 -0.2461 -0.62376 2.6192 1
40 9.7305e-05 2.6325 -0.2461 -0.6236 2.6167 1
40 0.00011391 2.6325 -0.2461 -0.62344 2.6153 1
40 0.00013051 2.6325 -0.2461 -0.62328 2.6147 1
40 0.00018404 2.6323 -0.2461 -0.62276 2.614 1
40 0.00023757 2.6322 -0.2461 -0.62224 2.6142 1
40 0.0002911 2.632 -0.2461 -0.62171 2.6141 1
data =
ID t Ia If N T health_condition
__ __________ ______ _______ ________ ______ ________________
41 0 2.6327 -0.2461 -0.62456 2.8296 1
41 4.2188e-06 2.6327 -0.2461 -0.62452 2.7911 1
41 8.4375e-06 2.6327 -0.2461 -0.62448 2.7593 1
41 1.2656e-05 2.6327 -0.2461 -0.62443 2.7333 1
41 2.1367e-05 2.6327 -0.2461 -0.62435 2.6916 1
41 3.0077e-05 2.6326 -0.2461 -0.62426 2.6639 1
41 3.8787e-05 2.6326 -0.2461 -0.62417 2.646 1
41 4.7497e-05 2.6326 -0.2461 -0.62409 2.6346 1
41 6.41e-05 2.6326 -0.2461 -0.62393 2.6239 1
41 8.0703e-05 2.6326 -0.2461 -0.62376 2.6192 1
41 9.7305e-05 2.6325 -0.2461 -0.6236 2.6167 1
41 0.00011391 2.6325 -0.2461 -0.62344 2.6153 1
41 0.00013051 2.6325 -0.2461 -0.62328 2.6147 1
41 0.00018404 2.6323 -0.2461 -0.62276 2.614 1
41 0.00023757 2.6322 -0.2461 -0.62224 2.6142 1
41 0.0002911 2.632 -0.2461 -0.62171 2.6141 1
data =
ID t Ia If N T health_condition
__ __________ ______ _______ ________ ______ ________________
42 0 2.6327 -0.2461 -0.62456 2.8296 1
42 4.2188e-06 2.6327 -0.2461 -0.62452 2.7911 1
42 8.4375e-06 2.6327 -0.2461 -0.62448 2.7593 1
42 1.2656e-05 2.6327 -0.2461 -0.62443 2.7333 1
42 2.1367e-05 2.6327 -0.2461 -0.62435 2.6916 1
42 3.0077e-05 2.6326 -0.2461 -0.62426 2.6639 1
42 3.8787e-05 2.6326 -0.2461 -0.62417 2.646 1
42 4.7497e-05 2.6326 -0.2461 -0.62409 2.6346 1
42 6.41e-05 2.6326 -0.2461 -0.62393 2.6239 1
42 8.0703e-05 2.6326 -0.2461 -0.62376 2.6192 1
42 9.7305e-05 2.6325 -0.2461 -0.6236 2.6167 1
42 0.00011391 2.6325 -0.2461 -0.62344 2.6153 1
42 0.00013051 2.6325 -0.2461 -0.62328 2.6147 1
42 0.00018404 2.6323 -0.2461 -0.62276 2.614 1
42 0.00023757 2.6322 -0.2461 -0.62224 2.6142 1
42 0.0002911 2.632 -0.2461 -0.62171 2.6141 1
data =
ID t Ia If N T health_condition
__ __________ ______ _______ ________ ______ ________________
44 0 2.6327 -0.2461 -0.62456 2.8296 1
44 4.2188e-06 2.6327 -0.2461 -0.62452 2.7911 1
44 8.4375e-06 2.6327 -0.2461 -0.62448 2.7593 1
44 1.2656e-05 2.6327 -0.2461 -0.62443 2.7333 1
44 2.1367e-05 2.6327 -0.2461 -0.62435 2.6916 1
44 3.0077e-05 2.6326 -0.2461 -0.62426 2.6639 1
44 3.8787e-05 2.6326 -0.2461 -0.62417 2.646 1
44 4.7497e-05 2.6326 -0.2461 -0.62409 2.6346 1
44 6.41e-05 2.6326 -0.2461 -0.62393 2.6239 1
44 8.0703e-05 2.6326 -0.2461 -0.62376 2.6192 1
44 9.7305e-05 2.6325 -0.2461 -0.6236 2.6167 1
44 0.00011391 2.6325 -0.2461 -0.62344 2.6153 1
44 0.00013051 2.6325 -0.2461 -0.62328 2.6147 1
44 0.00018404 2.6323 -0.2461 -0.62276 2.614 1
44 0.00023757 2.6322 -0.2461 -0.62224 2.6142 1
44 0.0002911 2.632 -0.2461 -0.62171 2.6141 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
5 0 2.6327 -0.24773 -0.62456 2.8281 1
5 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
5 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
5 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
5 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
5 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
5 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
5 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
5 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
5 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
5 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
5 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
5 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
5 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
5 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
5 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
6 0 2.6327 -0.24773 -0.62456 2.8281 1
6 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
6 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
6 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
6 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
6 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
6 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
6 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
6 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
6 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
6 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
6 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
6 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
6 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
6 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
6 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
7 0 2.6327 -0.24773 -0.62456 2.8281 1
7 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
7 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
7 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
7 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
7 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
7 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
7 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
7 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
7 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
7 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
7 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
7 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
7 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
7 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
7 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
8 0 2.6327 -0.24773 -0.62456 2.8281 1
8 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
8 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
8 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
8 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
8 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
8 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
8 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
8 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
8 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
8 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
8 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
8 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
8 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
8 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
8 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
data =
ID t Ia If N T health_condition
__ __________ ______ ________ ________ ______ ________________
9 0 2.6327 -0.24773 -0.62456 2.8281 1
9 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896 1
9 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579 1
9 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318 1
9 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901 1
9 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624 1
9 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446 1
9 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332 1
9 6.41e-05 2.6326 -0.24773 -0.62393 2.6225 1
9 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178 1
9 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153 1
9 0.00011391 2.6325 -0.24773 -0.62344 2.6139 1
9 0.00013051 2.6325 -0.24773 -0.62328 2.6133 1
9 0.00018404 2.6323 -0.24773 -0.62276 2.6126 1
9 0.00023757 2.6322 -0.24773 -0.62224 2.6128 1
9 0.0002911 2.632 -0.24773 -0.62172 2.6127 1
helperPlotEnsemble(trainDataFused, [], 1, 14)
ylabel('Health Indicator')
Process of removing outliers does not work so we need to do some alternative thing, let it be just doing the things that were done in the tutorial and make necessary changes afterwards.
Repeat the normalisation step on the validation data using the same mean and std deviation. Then all those variables are also added in the same way as training data using the same weights.
validationDataNormalized=validationData
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
for i=1:numel(validationData)
validationDataNormalized{i}.Ia=(validationData{i}.Ia-centerstats.Mean.Ia)/centerstats.SD.Ia
validationDataNormalized{i}.If=(validationData{i}.If-centerstats.Mean.If)/centerstats.SD.If
validationDataNormalized{i}.N=(validationData{i}.N-centerstats.Mean.N)/centerstats.SD.N
validationDataNormalized{i}.T=(validationData{i}.T-centerstats.Mean.T)/centerstats.SD.T
end
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationDataNormalized =
{256×6 table}
{236×6 table}
{276×6 table}
{193×6 table}
{116×6 table}
validationdatafused=cell(5,1)
validationdatafused =
{0×0 double}
{0×0 double}
{0×0 double}
{0×0 double}
{0×0 double}
for j=1:numel(validationDataNormalized)
data=validationDataNormalized{j}
datatofuse=data{:,cellstr(sensorToFuse)};
dataFuseRaw=datatofuse*weights;
validationdatafused{j}=dataFuseRaw;
end
data =
ID t Ia If N T
__ __________ ______ ________ ________ ______
1 0 2.6327 -0.24773 -0.62456 2.8281
1 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896
1 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579
1 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318
1 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901
1 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624
1 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446
1 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332
1 6.41e-05 2.6326 -0.24773 -0.62393 2.6225
1 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178
1 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153
1 0.00011391 2.6325 -0.24773 -0.62344 2.6139
1 0.00013051 2.6325 -0.24773 -0.62328 2.6133
1 0.00018404 2.6323 -0.24773 -0.62276 2.6126
1 0.00023757 2.6322 -0.24773 -0.62224 2.6128
1 0.0002911 2.632 -0.24773 -0.62172 2.6127
data =
ID t Ia If N T
__ __________ ______ ________ ________ ______
10 0 2.6327 -0.24773 -0.62456 2.8281
10 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896
10 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579
10 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318
10 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901
10 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624
10 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446
10 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332
10 6.41e-05 2.6326 -0.24773 -0.62393 2.6225
10 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178
10 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153
10 0.00011391 2.6325 -0.24773 -0.62344 2.6139
10 0.00013051 2.6325 -0.24773 -0.62328 2.6133
10 0.00018404 2.6323 -0.24773 -0.62276 2.6126
10 0.00023757 2.6322 -0.24773 -0.62224 2.6128
10 0.0002911 2.632 -0.24773 -0.62172 2.6127
data =
ID t Ia If N T
__ __________ ______ ________ ________ ______
16 0 2.6327 -0.24773 -0.62456 2.8281
16 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896
16 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579
16 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318
16 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901
16 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624
16 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446
16 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332
16 6.41e-05 2.6326 -0.24773 -0.62393 2.6225
16 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178
16 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153
16 0.00011391 2.6325 -0.24773 -0.62344 2.6139
16 0.00013051 2.6325 -0.24773 -0.62328 2.6133
16 0.00018404 2.6323 -0.24773 -0.62276 2.6126
16 0.00023757 2.6322 -0.24773 -0.62224 2.6128
16 0.0002911 2.632 -0.24773 -0.62172 2.6127
data =
ID t Ia If N T
__ __________ ______ ________ ________ ______
27 0 2.6327 -0.24773 -0.62456 2.8281
27 4.2188e-06 2.6327 -0.24773 -0.62452 2.7896
27 8.4375e-06 2.6327 -0.24773 -0.62448 2.7579
27 1.2656e-05 2.6327 -0.24773 -0.62443 2.7318
27 2.1367e-05 2.6327 -0.24773 -0.62435 2.6901
27 3.0077e-05 2.6326 -0.24773 -0.62426 2.6624
27 3.8787e-05 2.6326 -0.24773 -0.62417 2.6446
27 4.7497e-05 2.6326 -0.24773 -0.62409 2.6332
27 6.41e-05 2.6326 -0.24773 -0.62393 2.6225
27 8.0703e-05 2.6326 -0.24773 -0.62376 2.6178
27 9.7305e-05 2.6325 -0.24773 -0.6236 2.6153
27 0.00011391 2.6325 -0.24773 -0.62344 2.6139
27 0.00013051 2.6325 -0.24773 -0.62328 2.6133
27 0.00018404 2.6323 -0.24773 -0.62276 2.6126
27 0.00023757 2.6322 -0.24773 -0.62224 2.6128
27 0.0002911 2.632 -0.24773 -0.62172 2.6127
data =
ID t Ia If N T
__ __________ ______ _______ ________ ______
43 0 2.6327 -0.2461 -0.62456 2.8296
43 4.2188e-06 2.6327 -0.2461 -0.62452 2.7911
43 8.4375e-06 2.6327 -0.2461 -0.62448 2.7593
43 1.2656e-05 2.6327 -0.2461 -0.62443 2.7333
43 2.1367e-05 2.6327 -0.2461 -0.62435 2.6916
43 3.0077e-05 2.6326 -0.2461 -0.62426 2.6639
43 3.8787e-05 2.6326 -0.2461 -0.62417 2.646
43 4.7497e-05 2.6326 -0.2461 -0.62409 2.6346
43 6.41e-05 2.6326 -0.2461 -0.62393 2.6239
43 8.0703e-05 2.6326 -0.2461 -0.62376 2.6192
43 9.7305e-05 2.6325 -0.2461 -0.6236 2.6167
43 0.00011391 2.6325 -0.2461 -0.62344 2.6153
43 0.00013051 2.6325 -0.2461 -0.62328 2.6147
43 0.00018404 2.6323 -0.2461 -0.62276 2.614
43 0.00023757 2.6322 -0.2461 -0.62224 2.6142
43 0.0002911 2.632 -0.2461 -0.62171 2.6141
helperPlotEnsemble(validationdatafused, [], 1, 3)
ylabel('Health Indicator')
Now we do have our training and validation data ready now it is needed to build a ML model to make predictions. We will use residual similarity model which tries to predict the health condition of a machine using 2nd order polynomial. The similarity score is find by formula :
score(i,j)=exp(-d(i,j)^2)
It gives estimate how much two machines are similar.
The code is given below: I have used the 10 nearest neighbours as in tutorial data the train data contains
mdl = residualSimilarityModel(...
'Distance', 'absolute',...
'NumNearestNeighbors', 10,...
fit(mdl, trainDataFused);
mdl
mdl =
residualSimilarityModel with properties:
Models: {38×1 cell}
ModelMSE: [38×1 double]
LifeSpan: [38×1 double]
NumNearestNeighbors: 10
Method: "poly2"
Distance: "absolute"
IncludeTies: 1
Standardize: 1
LifeTimeVariable: ""
LifeTimeUnit: ""
DataVariables: ""
UserData: []
UseParallel: 0
As the model is fit now to validate we used different amount of validation data i.e.. 50%,70% and 90% which will give much better results for more data. This percentage data we are talking about a single instance like running of machine 50% of its time, 70% of time and we are trying to predict the time for its 100% running condition.
breakpoint = [0.5, 0.7, 0.9];
validationDataTmp = validationdatafused{3};
We have taken only the 3rd validation data profile.
validationDataTmp50 = validationDataTmp(1:ceil(end*breakpoint(bpidx)),:);
trueRUL = length(validationDataTmp) - length(validationDataTmp50);
[estRUL, ciRUL, pdfRUL] = predictRUL(mdl, validationDataTmp50);
compare(mdl, validationDataTmp50);
helperPlotRULDistribution(trueRUL, estRUL, pdfRUL, ciRUL)
validationDataTmp70 = validationDataTmp(1:ceil(end*breakpoint(bpidx)), :);
trueRUL = length(validationDataTmp) - length(validationDataTmp70);
[estRUL,ciRUL,pdfRUL] = predictRUL(mdl, validationDataTmp70);
compare(mdl, validationDataTmp70);
helperPlotRULDistribution(trueRUL, estRUL, pdfRUL, ciRUL)
validationDataTmp90 = validationDataTmp(1:ceil(end*breakpoint(bpidx)), :);
trueRUL = length(validationDataTmp) - length(validationDataTmp90);
[estRUL,ciRUL,pdfRUL] = predictRUL(mdl, validationDataTmp90);
compare(mdl, validationDataTmp90);
helperPlotRULDistribution(trueRUL, estRUL, pdfRUL, ciRUL)
numValidation = length(validationdatafused);
numBreakpoint = length(breakpoint);
error = zeros(numValidation, numBreakpoint);
for dataIdx = 1:numValidation
tmpData = validationdatafused{dataIdx};
for bpidx = 1:numBreakpoint
tmpDataTest = tmpData(1:ceil(end*breakpoint(bpidx)), :);
trueRUL = length(tmpData) - length(tmpDataTest);
[estRUL, ~, ~] = predictRUL(mdl, tmpDataTest);
error(dataIdx, bpidx) = estRUL - trueRUL;
Now full validation data is used to calculate the error. Just we have repeated the above process used on 3rd entry of validation data on full validation data.
[pdf50, x50] = ksdensity(error(:, 1));
[pdf70, x70] = ksdensity(error(:, 2));
[pdf90, x90] = ksdensity(error(:, 3));
histogram(error(:, 1), 'BinWidth', 5, 'Normalization', 'pdf')
xlabel('Prediction Error')
title('RUL Prediction Error using first 50% of each validation ensemble member')
histogram(error(:, 2), 'BinWidth', 5, 'Normalization', 'pdf')
xlabel('Prediction Error')
title('RUL Prediction Error using first 70% of each validation ensemble member')
histogram(error(:, 3), 'BinWidth', 5, 'Normalization', 'pdf')
xlabel('Prediction Error')
title('RUL Prediction Error using first 90% of each validation ensemble member')
boxplot(error, 'Labels', {'50%', '70%', '90%'})
ylabel('Prediction Error')
title('Prediction error using different percentages of each validation ensemble member')
errorMedian = median(error)
errorMedian =
-86.7852 -42.5323 -5.7899
In our case error is actually 5*3 dimensional, rsn we do have three breaking points we can also increase them but that’s nonsense. Error mean, error standard deviation is found then error bar is plotted, from hypothesis as the amount of data increases the error should decrease. Lets see what happens in the real graph:
errorbar([50 70 90], errorMean, errorSD, '-o', 'MarkerEdgeColor','r')
xlabel('Percentage of validation data used for RUL prediction')
ylabel('Prediction Error')
legend('Mean Prediction Error with 1 Standard Deviation Eror bar', 'Location', 'south')